Actual source code: dm.c
1: #include <petscvec.h>
2: #include <petsc/private/dmimpl.h>
3: #include <petsc/private/dmlabelimpl.h>
4: #include <petsc/private/petscdsimpl.h>
5: #include <petscdmplex.h>
6: #include <petscdmceed.h>
7: #include <petscdmfield.h>
8: #include <petscsf.h>
9: #include <petscds.h>
11: #ifdef PETSC_HAVE_LIBCEED
12: #include <petscfeceed.h>
13: #endif
15: PetscClassId DM_CLASSID;
16: PetscClassId DMLABEL_CLASSID;
17: PetscLogEvent DM_Convert, DM_GlobalToLocal, DM_LocalToGlobal, DM_LocalToLocal, DM_LocatePoints, DM_Coarsen, DM_Refine, DM_CreateInterpolation, DM_CreateRestriction, DM_CreateInjection, DM_CreateMatrix, DM_CreateMassMatrix, DM_Load, DM_View, DM_AdaptInterpolator, DM_ProjectFunction;
19: const char *const DMBoundaryTypes[] = {"NONE", "GHOSTED", "MIRROR", "PERIODIC", "TWIST", "DMBoundaryType", "DM_BOUNDARY_", NULL};
20: const char *const DMBoundaryConditionTypes[] = {"INVALID", "ESSENTIAL", "NATURAL", "INVALID", "LOWER_BOUND", "ESSENTIAL_FIELD", "NATURAL_FIELD", "INVALID", "UPPER_BOUND", "ESSENTIAL_BD_FIELD", "NATURAL_RIEMANN", "DMBoundaryConditionType",
21: "DM_BC_", NULL};
22: const char *const DMBlockingTypes[] = {"TOPOLOGICAL_POINT", "FIELD_NODE", "DMBlockingType", "DM_BLOCKING_", NULL};
23: const char *const DMPolytopeTypes[] =
24: {"vertex", "segment", "tensor_segment", "triangle", "quadrilateral", "tensor_quad", "tetrahedron", "hexahedron", "triangular_prism", "tensor_triangular_prism", "tensor_quadrilateral_prism", "pyramid", "FV_ghost_cell", "interior_ghost_cell",
25: "unknown", "unknown_cell", "unknown_face", "invalid", "DMPolytopeType", "DM_POLYTOPE_", NULL};
26: const char *const DMCopyLabelsModes[] = {"replace", "keep", "fail", "DMCopyLabelsMode", "DM_COPY_LABELS_", NULL};
28: /*@
29: DMCreate - Creates an empty `DM` object. `DM`s are the abstract objects in PETSc that mediate between meshes and discretizations and the
30: algebraic solvers, time integrators, and optimization algorithms in PETSc.
32: Collective
34: Input Parameter:
35: . comm - The communicator for the `DM` object
37: Output Parameter:
38: . dm - The `DM` object
40: Level: beginner
42: Notes:
43: See `DMType` for a brief summary of available `DM`.
45: The type must then be set with `DMSetType()`. If you never call `DMSetType()` it will generate an
46: error when you try to use the `dm`.
48: `DM` is an orphan initialism or orphan acronym, the letters have no meaning and never did.
50: .seealso: [](ch_dmbase), `DM`, `DMSetType()`, `DMType`, `DMDACreate()`, `DMDA`, `DMSLICED`, `DMCOMPOSITE`, `DMPLEX`, `DMMOAB`, `DMNETWORK`
51: @*/
52: PetscErrorCode DMCreate(MPI_Comm comm, DM *dm)
53: {
54: DM v;
55: PetscDS ds;
57: PetscFunctionBegin;
58: PetscAssertPointer(dm, 2);
60: PetscCall(DMInitializePackage());
61: PetscCall(PetscHeaderCreate(v, DM_CLASSID, "DM", "Distribution Manager", "DM", comm, DMDestroy, DMView));
62: ((PetscObject)v)->non_cyclic_references = &DMCountNonCyclicReferences;
63: v->setupcalled = PETSC_FALSE;
64: v->setfromoptionscalled = PETSC_FALSE;
65: v->ltogmap = NULL;
66: v->bind_below = 0;
67: v->bs = 1;
68: v->coloringtype = IS_COLORING_GLOBAL;
69: PetscCall(PetscSFCreate(comm, &v->sf));
70: PetscCall(PetscSFCreate(comm, &v->sectionSF));
71: v->labels = NULL;
72: v->adjacency[0] = PETSC_FALSE;
73: v->adjacency[1] = PETSC_TRUE;
74: v->depthLabel = NULL;
75: v->celltypeLabel = NULL;
76: v->localSection = NULL;
77: v->globalSection = NULL;
78: v->defaultConstraint.section = NULL;
79: v->defaultConstraint.mat = NULL;
80: v->defaultConstraint.bias = NULL;
81: v->coordinates[0].dim = PETSC_DEFAULT;
82: v->coordinates[1].dim = PETSC_DEFAULT;
83: v->sparseLocalize = PETSC_TRUE;
84: v->dim = PETSC_DETERMINE;
85: PetscCall(PetscDSCreate(PETSC_COMM_SELF, &ds));
86: PetscCall(DMSetRegionDS(v, NULL, NULL, ds, NULL));
87: PetscCall(PetscDSDestroy(&ds));
88: PetscCall(PetscHMapAuxCreate(&v->auxData));
89: v->dmBC = NULL;
90: v->coarseMesh = NULL;
91: v->outputSequenceNum = -1;
92: v->outputSequenceVal = 0.0;
93: PetscCall(DMSetVecType(v, VECSTANDARD));
94: PetscCall(DMSetMatType(v, MATAIJ));
96: *dm = v;
97: PetscFunctionReturn(PETSC_SUCCESS);
98: }
100: /*@
101: DMClone - Creates a `DM` object with the same topology as the original.
103: Collective
105: Input Parameter:
106: . dm - The original `DM` object
108: Output Parameter:
109: . newdm - The new `DM` object
111: Level: beginner
113: Notes:
114: For some `DM` implementations this is a shallow clone, the result of which may share (reference counted) information with its parent. For example,
115: `DMClone()` applied to a `DMPLEX` object will result in a new `DMPLEX` that shares the topology with the original `DMPLEX`. It does not
116: share the `PetscSection` of the original `DM`.
118: The clone is considered set up if the original has been set up.
120: Use `DMConvert()` for a general way to create new `DM` from a given `DM`
122: .seealso: [](ch_dmbase), `DM`, `DMDestroy()`, `DMCreate()`, `DMSetType()`, `DMSetLocalSection()`, `DMSetGlobalSection()`, `DMPLEX`, `DMConvert()`
123: @*/
124: PetscErrorCode DMClone(DM dm, DM *newdm)
125: {
126: PetscSF sf;
127: Vec coords;
128: void *ctx;
129: MatOrderingType otype;
130: DMReorderDefaultFlag flg;
131: PetscInt dim, cdim, i;
133: PetscFunctionBegin;
135: PetscAssertPointer(newdm, 2);
136: PetscCall(DMCreate(PetscObjectComm((PetscObject)dm), newdm));
137: PetscCall(DMCopyLabels(dm, *newdm, PETSC_COPY_VALUES, PETSC_TRUE, DM_COPY_LABELS_FAIL));
138: (*newdm)->leveldown = dm->leveldown;
139: (*newdm)->levelup = dm->levelup;
140: (*newdm)->prealloc_only = dm->prealloc_only;
141: (*newdm)->prealloc_skip = dm->prealloc_skip;
142: PetscCall(PetscFree((*newdm)->vectype));
143: PetscCall(PetscStrallocpy(dm->vectype, (char **)&(*newdm)->vectype));
144: PetscCall(PetscFree((*newdm)->mattype));
145: PetscCall(PetscStrallocpy(dm->mattype, (char **)&(*newdm)->mattype));
146: PetscCall(DMGetDimension(dm, &dim));
147: PetscCall(DMSetDimension(*newdm, dim));
148: PetscTryTypeMethod(dm, clone, newdm);
149: (*newdm)->setupcalled = dm->setupcalled;
150: PetscCall(DMGetPointSF(dm, &sf));
151: PetscCall(DMSetPointSF(*newdm, sf));
152: PetscCall(DMGetApplicationContext(dm, &ctx));
153: PetscCall(DMSetApplicationContext(*newdm, ctx));
154: PetscCall(DMReorderSectionGetDefault(dm, &flg));
155: PetscCall(DMReorderSectionSetDefault(*newdm, flg));
156: PetscCall(DMReorderSectionGetType(dm, &otype));
157: PetscCall(DMReorderSectionSetType(*newdm, otype));
158: for (i = 0; i < 2; ++i) {
159: if (dm->coordinates[i].dm) {
160: DM ncdm;
161: PetscSection cs;
162: PetscInt pEnd = -1, pEndMax = -1;
164: PetscCall(DMGetLocalSection(dm->coordinates[i].dm, &cs));
165: if (cs) PetscCall(PetscSectionGetChart(cs, NULL, &pEnd));
166: PetscCallMPI(MPIU_Allreduce(&pEnd, &pEndMax, 1, MPIU_INT, MPI_MAX, PetscObjectComm((PetscObject)dm)));
167: if (pEndMax >= 0) {
168: PetscCall(DMClone(dm->coordinates[i].dm, &ncdm));
169: PetscCall(DMCopyDisc(dm->coordinates[i].dm, ncdm));
170: PetscCall(DMSetLocalSection(ncdm, cs));
171: if (dm->coordinates[i].dm->periodic.setup) {
172: ncdm->periodic.setup = dm->coordinates[i].dm->periodic.setup;
173: PetscCall(ncdm->periodic.setup(ncdm));
174: }
175: if (i) PetscCall(DMSetCellCoordinateDM(*newdm, ncdm));
176: else PetscCall(DMSetCoordinateDM(*newdm, ncdm));
177: PetscCall(DMDestroy(&ncdm));
178: }
179: }
180: }
181: PetscCall(DMGetCoordinateDim(dm, &cdim));
182: PetscCall(DMSetCoordinateDim(*newdm, cdim));
183: PetscCall(DMGetCoordinatesLocal(dm, &coords));
184: if (coords) {
185: PetscCall(DMSetCoordinatesLocal(*newdm, coords));
186: } else {
187: PetscCall(DMGetCoordinates(dm, &coords));
188: if (coords) PetscCall(DMSetCoordinates(*newdm, coords));
189: }
190: PetscCall(DMGetCellCoordinatesLocal(dm, &coords));
191: if (coords) {
192: PetscCall(DMSetCellCoordinatesLocal(*newdm, coords));
193: } else {
194: PetscCall(DMGetCellCoordinates(dm, &coords));
195: if (coords) PetscCall(DMSetCellCoordinates(*newdm, coords));
196: }
197: {
198: const PetscReal *maxCell, *Lstart, *L;
200: PetscCall(DMGetPeriodicity(dm, &maxCell, &Lstart, &L));
201: PetscCall(DMSetPeriodicity(*newdm, maxCell, Lstart, L));
202: }
203: {
204: PetscBool useCone, useClosure;
206: PetscCall(DMGetAdjacency(dm, PETSC_DEFAULT, &useCone, &useClosure));
207: PetscCall(DMSetAdjacency(*newdm, PETSC_DEFAULT, useCone, useClosure));
208: }
209: PetscFunctionReturn(PETSC_SUCCESS);
210: }
212: /*@
213: DMSetVecType - Sets the type of vector to be created with `DMCreateLocalVector()` and `DMCreateGlobalVector()`
215: Logically Collective
217: Input Parameters:
218: + dm - initial distributed array
219: - ctype - the vector type, for example `VECSTANDARD`, `VECCUDA`, or `VECVIENNACL`
221: Options Database Key:
222: . -dm_vec_type ctype - the type of vector to create
224: Level: intermediate
226: .seealso: [](ch_dmbase), `DM`, `DMCreate()`, `DMDestroy()`, `DMDAInterpolationType`, `VecType`, `DMGetVecType()`, `DMSetMatType()`, `DMGetMatType()`,
227: `VECSTANDARD`, `VECCUDA`, `VECVIENNACL`, `DMCreateLocalVector()`, `DMCreateGlobalVector()`
228: @*/
229: PetscErrorCode DMSetVecType(DM dm, VecType ctype)
230: {
231: char *tmp;
233: PetscFunctionBegin;
235: PetscAssertPointer(ctype, 2);
236: tmp = (char *)dm->vectype;
237: PetscCall(PetscStrallocpy(ctype, (char **)&dm->vectype));
238: PetscCall(PetscFree(tmp));
239: PetscFunctionReturn(PETSC_SUCCESS);
240: }
242: /*@
243: DMGetVecType - Gets the type of vector created with `DMCreateLocalVector()` and `DMCreateGlobalVector()`
245: Logically Collective
247: Input Parameter:
248: . da - initial distributed array
250: Output Parameter:
251: . ctype - the vector type
253: Level: intermediate
255: .seealso: [](ch_dmbase), `DM`, `DMCreate()`, `DMDestroy()`, `DMDAInterpolationType`, `VecType`, `DMSetMatType()`, `DMGetMatType()`, `DMSetVecType()`
256: @*/
257: PetscErrorCode DMGetVecType(DM da, VecType *ctype)
258: {
259: PetscFunctionBegin;
261: *ctype = da->vectype;
262: PetscFunctionReturn(PETSC_SUCCESS);
263: }
265: /*@
266: VecGetDM - Gets the `DM` defining the data layout of the vector
268: Not Collective
270: Input Parameter:
271: . v - The `Vec`
273: Output Parameter:
274: . dm - The `DM`
276: Level: intermediate
278: Note:
279: A `Vec` may not have a `DM` associated with it.
281: .seealso: [](ch_dmbase), `DM`, `VecSetDM()`, `DMGetLocalVector()`, `DMGetGlobalVector()`, `DMSetVecType()`
282: @*/
283: PetscErrorCode VecGetDM(Vec v, DM *dm)
284: {
285: PetscFunctionBegin;
287: PetscAssertPointer(dm, 2);
288: PetscCall(PetscObjectQuery((PetscObject)v, "__PETSc_dm", (PetscObject *)dm));
289: PetscFunctionReturn(PETSC_SUCCESS);
290: }
292: /*@
293: VecSetDM - Sets the `DM` defining the data layout of the vector.
295: Not Collective
297: Input Parameters:
298: + v - The `Vec`
299: - dm - The `DM`
301: Level: developer
303: Notes:
304: This is rarely used, generally one uses `DMGetLocalVector()` or `DMGetGlobalVector()` to create a vector associated with a given `DM`
306: This is NOT the same as `DMCreateGlobalVector()` since it does not change the view methods or perform other customization, but merely sets the `DM` member.
308: .seealso: [](ch_dmbase), `DM`, `VecGetDM()`, `DMGetLocalVector()`, `DMGetGlobalVector()`, `DMSetVecType()`
309: @*/
310: PetscErrorCode VecSetDM(Vec v, DM dm)
311: {
312: PetscFunctionBegin;
315: PetscCall(PetscObjectCompose((PetscObject)v, "__PETSc_dm", (PetscObject)dm));
316: PetscFunctionReturn(PETSC_SUCCESS);
317: }
319: /*@
320: DMSetISColoringType - Sets the type of coloring, `IS_COLORING_GLOBAL` or `IS_COLORING_LOCAL` that is created by the `DM`
322: Logically Collective
324: Input Parameters:
325: + dm - the `DM` context
326: - ctype - the matrix type
328: Options Database Key:
329: . -dm_is_coloring_type - global or local
331: Level: intermediate
333: .seealso: [](ch_dmbase), `DM`, `DMDACreate1d()`, `DMDACreate2d()`, `DMDACreate3d()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMSetMatrixPreallocateOnly()`, `MatType`, `DMGetMatType()`,
334: `DMGetISColoringType()`, `ISColoringType`, `IS_COLORING_GLOBAL`, `IS_COLORING_LOCAL`
335: @*/
336: PetscErrorCode DMSetISColoringType(DM dm, ISColoringType ctype)
337: {
338: PetscFunctionBegin;
340: dm->coloringtype = ctype;
341: PetscFunctionReturn(PETSC_SUCCESS);
342: }
344: /*@
345: DMGetISColoringType - Gets the type of coloring, `IS_COLORING_GLOBAL` or `IS_COLORING_LOCAL` that is created by the `DM`
347: Logically Collective
349: Input Parameter:
350: . dm - the `DM` context
352: Output Parameter:
353: . ctype - the matrix type
355: Options Database Key:
356: . -dm_is_coloring_type - global or local
358: Level: intermediate
360: .seealso: [](ch_dmbase), `DM`, `DMDACreate1d()`, `DMDACreate2d()`, `DMDACreate3d()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMSetMatrixPreallocateOnly()`, `MatType`, `DMGetMatType()`,
361: `ISColoringType`, `IS_COLORING_GLOBAL`, `IS_COLORING_LOCAL`
362: @*/
363: PetscErrorCode DMGetISColoringType(DM dm, ISColoringType *ctype)
364: {
365: PetscFunctionBegin;
367: *ctype = dm->coloringtype;
368: PetscFunctionReturn(PETSC_SUCCESS);
369: }
371: /*@
372: DMSetMatType - Sets the type of matrix created with `DMCreateMatrix()`
374: Logically Collective
376: Input Parameters:
377: + dm - the `DM` context
378: - ctype - the matrix type, for example `MATMPIAIJ`
380: Options Database Key:
381: . -dm_mat_type ctype - the type of the matrix to create, for example mpiaij
383: Level: intermediate
385: .seealso: [](ch_dmbase), `DM`, `MatType`, `DMDACreate1d()`, `DMDACreate2d()`, `DMDACreate3d()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMSetMatrixPreallocateOnly()`, `DMGetMatType()`, `DMCreateGlobalVector()`, `DMCreateLocalVector()`
386: @*/
387: PetscErrorCode DMSetMatType(DM dm, MatType ctype)
388: {
389: char *tmp;
391: PetscFunctionBegin;
393: PetscAssertPointer(ctype, 2);
394: tmp = (char *)dm->mattype;
395: PetscCall(PetscStrallocpy(ctype, (char **)&dm->mattype));
396: PetscCall(PetscFree(tmp));
397: PetscFunctionReturn(PETSC_SUCCESS);
398: }
400: /*@
401: DMGetMatType - Gets the type of matrix that would be created with `DMCreateMatrix()`
403: Logically Collective
405: Input Parameter:
406: . dm - the `DM` context
408: Output Parameter:
409: . ctype - the matrix type
411: Level: intermediate
413: .seealso: [](ch_dmbase), `DM`, `DMDACreate1d()`, `DMDACreate2d()`, `DMDACreate3d()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMSetMatrixPreallocateOnly()`, `MatType`, `DMSetMatType()`
414: @*/
415: PetscErrorCode DMGetMatType(DM dm, MatType *ctype)
416: {
417: PetscFunctionBegin;
419: *ctype = dm->mattype;
420: PetscFunctionReturn(PETSC_SUCCESS);
421: }
423: /*@
424: MatGetDM - Gets the `DM` defining the data layout of the matrix
426: Not Collective
428: Input Parameter:
429: . A - The `Mat`
431: Output Parameter:
432: . dm - The `DM`
434: Level: intermediate
436: Note:
437: A matrix may not have a `DM` associated with it
439: Developer Note:
440: Since the `Mat` class doesn't know about the `DM` class the `DM` object is associated with the `Mat` through a `PetscObjectCompose()` operation
442: .seealso: [](ch_dmbase), `DM`, `MatSetDM()`, `DMCreateMatrix()`, `DMSetMatType()`
443: @*/
444: PetscErrorCode MatGetDM(Mat A, DM *dm)
445: {
446: PetscFunctionBegin;
448: PetscAssertPointer(dm, 2);
449: PetscCall(PetscObjectQuery((PetscObject)A, "__PETSc_dm", (PetscObject *)dm));
450: PetscFunctionReturn(PETSC_SUCCESS);
451: }
453: /*@
454: MatSetDM - Sets the `DM` defining the data layout of the matrix
456: Not Collective
458: Input Parameters:
459: + A - The `Mat`
460: - dm - The `DM`
462: Level: developer
464: Note:
465: This is rarely used in practice, rather `DMCreateMatrix()` is used to create a matrix associated with a particular `DM`
467: Developer Note:
468: Since the `Mat` class doesn't know about the `DM` class the `DM` object is associated with
469: the `Mat` through a `PetscObjectCompose()` operation
471: .seealso: [](ch_dmbase), `DM`, `MatGetDM()`, `DMCreateMatrix()`, `DMSetMatType()`
472: @*/
473: PetscErrorCode MatSetDM(Mat A, DM dm)
474: {
475: PetscFunctionBegin;
478: PetscCall(PetscObjectCompose((PetscObject)A, "__PETSc_dm", (PetscObject)dm));
479: PetscFunctionReturn(PETSC_SUCCESS);
480: }
482: /*@
483: DMSetOptionsPrefix - Sets the prefix prepended to all option names when searching through the options database
485: Logically Collective
487: Input Parameters:
488: + dm - the `DM` context
489: - prefix - the prefix to prepend
491: Level: advanced
493: Note:
494: A hyphen (-) must NOT be given at the beginning of the prefix name.
495: The first character of all runtime options is AUTOMATICALLY the hyphen.
497: .seealso: [](ch_dmbase), `DM`, `PetscObjectSetOptionsPrefix()`, `DMSetFromOptions()`
498: @*/
499: PetscErrorCode DMSetOptionsPrefix(DM dm, const char prefix[])
500: {
501: PetscFunctionBegin;
503: PetscCall(PetscObjectSetOptionsPrefix((PetscObject)dm, prefix));
504: if (dm->sf) PetscCall(PetscObjectSetOptionsPrefix((PetscObject)dm->sf, prefix));
505: if (dm->sectionSF) PetscCall(PetscObjectSetOptionsPrefix((PetscObject)dm->sectionSF, prefix));
506: PetscFunctionReturn(PETSC_SUCCESS);
507: }
509: /*@
510: DMAppendOptionsPrefix - Appends an additional string to an already existing prefix used for searching for
511: `DM` options in the options database.
513: Logically Collective
515: Input Parameters:
516: + dm - the `DM` context
517: - prefix - the string to append to the current prefix
519: Level: advanced
521: Note:
522: If the `DM` does not currently have an options prefix then this value is used alone as the prefix as if `DMSetOptionsPrefix()` had been called.
523: A hyphen (-) must NOT be given at the beginning of the prefix name.
524: The first character of all runtime options is AUTOMATICALLY the hyphen.
526: .seealso: [](ch_dmbase), `DM`, `DMSetOptionsPrefix()`, `DMGetOptionsPrefix()`, `PetscObjectAppendOptionsPrefix()`, `DMSetFromOptions()`
527: @*/
528: PetscErrorCode DMAppendOptionsPrefix(DM dm, const char prefix[])
529: {
530: PetscFunctionBegin;
532: PetscCall(PetscObjectAppendOptionsPrefix((PetscObject)dm, prefix));
533: PetscFunctionReturn(PETSC_SUCCESS);
534: }
536: /*@
537: DMGetOptionsPrefix - Gets the prefix used for searching for all
538: DM options in the options database.
540: Not Collective
542: Input Parameter:
543: . dm - the `DM` context
545: Output Parameter:
546: . prefix - pointer to the prefix string used is returned
548: Level: advanced
550: .seealso: [](ch_dmbase), `DM`, `DMSetOptionsPrefix()`, `DMAppendOptionsPrefix()`, `DMSetFromOptions()`
551: @*/
552: PetscErrorCode DMGetOptionsPrefix(DM dm, const char *prefix[])
553: {
554: PetscFunctionBegin;
556: PetscCall(PetscObjectGetOptionsPrefix((PetscObject)dm, prefix));
557: PetscFunctionReturn(PETSC_SUCCESS);
558: }
560: static PetscErrorCode DMCountNonCyclicReferences_Internal(DM dm, PetscBool recurseCoarse, PetscBool recurseFine, PetscInt *ncrefct)
561: {
562: PetscInt refct = ((PetscObject)dm)->refct;
564: PetscFunctionBegin;
565: *ncrefct = 0;
566: if (dm->coarseMesh && dm->coarseMesh->fineMesh == dm) {
567: refct--;
568: if (recurseCoarse) {
569: PetscInt coarseCount;
571: PetscCall(DMCountNonCyclicReferences_Internal(dm->coarseMesh, PETSC_TRUE, PETSC_FALSE, &coarseCount));
572: refct += coarseCount;
573: }
574: }
575: if (dm->fineMesh && dm->fineMesh->coarseMesh == dm) {
576: refct--;
577: if (recurseFine) {
578: PetscInt fineCount;
580: PetscCall(DMCountNonCyclicReferences_Internal(dm->fineMesh, PETSC_FALSE, PETSC_TRUE, &fineCount));
581: refct += fineCount;
582: }
583: }
584: *ncrefct = refct;
585: PetscFunctionReturn(PETSC_SUCCESS);
586: }
588: /* Generic wrapper for DMCountNonCyclicReferences_Internal() */
589: PetscErrorCode DMCountNonCyclicReferences(PetscObject dm, PetscInt *ncrefct)
590: {
591: PetscFunctionBegin;
592: PetscCall(DMCountNonCyclicReferences_Internal((DM)dm, PETSC_TRUE, PETSC_TRUE, ncrefct));
593: PetscFunctionReturn(PETSC_SUCCESS);
594: }
596: PetscErrorCode DMDestroyLabelLinkList_Internal(DM dm)
597: {
598: DMLabelLink next = dm->labels;
600: PetscFunctionBegin;
601: /* destroy the labels */
602: while (next) {
603: DMLabelLink tmp = next->next;
605: if (next->label == dm->depthLabel) dm->depthLabel = NULL;
606: if (next->label == dm->celltypeLabel) dm->celltypeLabel = NULL;
607: PetscCall(DMLabelDestroy(&next->label));
608: PetscCall(PetscFree(next));
609: next = tmp;
610: }
611: dm->labels = NULL;
612: PetscFunctionReturn(PETSC_SUCCESS);
613: }
615: static PetscErrorCode DMDestroyCoordinates_Private(DMCoordinates *c)
616: {
617: PetscFunctionBegin;
618: c->dim = PETSC_DEFAULT;
619: PetscCall(DMDestroy(&c->dm));
620: PetscCall(VecDestroy(&c->x));
621: PetscCall(VecDestroy(&c->xl));
622: PetscCall(DMFieldDestroy(&c->field));
623: PetscFunctionReturn(PETSC_SUCCESS);
624: }
626: /*@
627: DMDestroy - Destroys a `DM`.
629: Collective
631: Input Parameter:
632: . dm - the `DM` object to destroy
634: Level: developer
636: .seealso: [](ch_dmbase), `DM`, `DMCreate()`, `DMType`, `DMSetType()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`
637: @*/
638: PetscErrorCode DMDestroy(DM *dm)
639: {
640: PetscInt cnt;
642: PetscFunctionBegin;
643: if (!*dm) PetscFunctionReturn(PETSC_SUCCESS);
646: /* count all non-cyclic references in the doubly-linked list of coarse<->fine meshes */
647: PetscCall(DMCountNonCyclicReferences_Internal(*dm, PETSC_TRUE, PETSC_TRUE, &cnt));
648: --((PetscObject)*dm)->refct;
649: if (--cnt > 0) {
650: *dm = NULL;
651: PetscFunctionReturn(PETSC_SUCCESS);
652: }
653: if (((PetscObject)*dm)->refct < 0) PetscFunctionReturn(PETSC_SUCCESS);
654: ((PetscObject)*dm)->refct = 0;
656: PetscCall(DMClearGlobalVectors(*dm));
657: PetscCall(DMClearLocalVectors(*dm));
658: PetscCall(DMClearNamedGlobalVectors(*dm));
659: PetscCall(DMClearNamedLocalVectors(*dm));
661: /* Destroy the list of hooks */
662: {
663: DMCoarsenHookLink link, next;
664: for (link = (*dm)->coarsenhook; link; link = next) {
665: next = link->next;
666: PetscCall(PetscFree(link));
667: }
668: (*dm)->coarsenhook = NULL;
669: }
670: {
671: DMRefineHookLink link, next;
672: for (link = (*dm)->refinehook; link; link = next) {
673: next = link->next;
674: PetscCall(PetscFree(link));
675: }
676: (*dm)->refinehook = NULL;
677: }
678: {
679: DMSubDomainHookLink link, next;
680: for (link = (*dm)->subdomainhook; link; link = next) {
681: next = link->next;
682: PetscCall(PetscFree(link));
683: }
684: (*dm)->subdomainhook = NULL;
685: }
686: {
687: DMGlobalToLocalHookLink link, next;
688: for (link = (*dm)->gtolhook; link; link = next) {
689: next = link->next;
690: PetscCall(PetscFree(link));
691: }
692: (*dm)->gtolhook = NULL;
693: }
694: {
695: DMLocalToGlobalHookLink link, next;
696: for (link = (*dm)->ltoghook; link; link = next) {
697: next = link->next;
698: PetscCall(PetscFree(link));
699: }
700: (*dm)->ltoghook = NULL;
701: }
702: /* Destroy the work arrays */
703: {
704: DMWorkLink link, next;
705: PetscCheck(!(*dm)->workout, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Work array still checked out %p %p", (void *)(*dm)->workout, (*dm)->workout->mem);
706: for (link = (*dm)->workin; link; link = next) {
707: next = link->next;
708: PetscCall(PetscFree(link->mem));
709: PetscCall(PetscFree(link));
710: }
711: (*dm)->workin = NULL;
712: }
713: /* destroy the labels */
714: PetscCall(DMDestroyLabelLinkList_Internal(*dm));
715: /* destroy the fields */
716: PetscCall(DMClearFields(*dm));
717: /* destroy the boundaries */
718: {
719: DMBoundary next = (*dm)->boundary;
720: while (next) {
721: DMBoundary b = next;
723: next = b->next;
724: PetscCall(PetscFree(b));
725: }
726: }
728: PetscCall(PetscObjectDestroy(&(*dm)->dmksp));
729: PetscCall(PetscObjectDestroy(&(*dm)->dmsnes));
730: PetscCall(PetscObjectDestroy(&(*dm)->dmts));
732: if ((*dm)->ctx && (*dm)->ctxdestroy) PetscCall((*(*dm)->ctxdestroy)(&(*dm)->ctx));
733: PetscCall(MatFDColoringDestroy(&(*dm)->fd));
734: PetscCall(ISLocalToGlobalMappingDestroy(&(*dm)->ltogmap));
735: PetscCall(PetscFree((*dm)->vectype));
736: PetscCall(PetscFree((*dm)->mattype));
738: PetscCall(PetscSectionDestroy(&(*dm)->localSection));
739: PetscCall(PetscSectionDestroy(&(*dm)->globalSection));
740: PetscCall(PetscFree((*dm)->reorderSectionType));
741: PetscCall(PetscLayoutDestroy(&(*dm)->map));
742: PetscCall(PetscSectionDestroy(&(*dm)->defaultConstraint.section));
743: PetscCall(MatDestroy(&(*dm)->defaultConstraint.mat));
744: PetscCall(PetscSFDestroy(&(*dm)->sf));
745: PetscCall(PetscSFDestroy(&(*dm)->sectionSF));
746: if ((*dm)->sfNatural) PetscCall(PetscSFDestroy(&(*dm)->sfNatural));
747: PetscCall(PetscObjectDereference((PetscObject)(*dm)->sfMigration));
748: PetscCall(DMClearAuxiliaryVec(*dm));
749: PetscCall(PetscHMapAuxDestroy(&(*dm)->auxData));
750: if ((*dm)->coarseMesh && (*dm)->coarseMesh->fineMesh == *dm) PetscCall(DMSetFineDM((*dm)->coarseMesh, NULL));
752: PetscCall(DMDestroy(&(*dm)->coarseMesh));
753: if ((*dm)->fineMesh && (*dm)->fineMesh->coarseMesh == *dm) PetscCall(DMSetCoarseDM((*dm)->fineMesh, NULL));
754: PetscCall(DMDestroy(&(*dm)->fineMesh));
755: PetscCall(PetscFree((*dm)->Lstart));
756: PetscCall(PetscFree((*dm)->L));
757: PetscCall(PetscFree((*dm)->maxCell));
758: PetscCall(PetscFree2((*dm)->nullspaceConstructors, (*dm)->nearnullspaceConstructors));
759: PetscCall(DMDestroyCoordinates_Private(&(*dm)->coordinates[0]));
760: PetscCall(DMDestroyCoordinates_Private(&(*dm)->coordinates[1]));
761: if ((*dm)->transformDestroy) PetscCall((*(*dm)->transformDestroy)(*dm, (*dm)->transformCtx));
762: PetscCall(DMDestroy(&(*dm)->transformDM));
763: PetscCall(VecDestroy(&(*dm)->transform));
764: for (PetscInt i = 0; i < (*dm)->periodic.num_affines; i++) {
765: PetscCall(VecScatterDestroy(&(*dm)->periodic.affine_to_local[i]));
766: PetscCall(VecDestroy(&(*dm)->periodic.affine[i]));
767: }
768: if ((*dm)->periodic.num_affines > 0) PetscCall(PetscFree2((*dm)->periodic.affine_to_local, (*dm)->periodic.affine));
770: PetscCall(DMClearDS(*dm));
771: PetscCall(DMDestroy(&(*dm)->dmBC));
772: /* if memory was published with SAWs then destroy it */
773: PetscCall(PetscObjectSAWsViewOff((PetscObject)*dm));
775: PetscTryTypeMethod(*dm, destroy);
776: PetscCall(DMMonitorCancel(*dm));
777: PetscCall(DMCeedDestroy(&(*dm)->dmceed));
778: #ifdef PETSC_HAVE_LIBCEED
779: PetscCallCEED(CeedElemRestrictionDestroy(&(*dm)->ceedERestrict));
780: PetscCallCEED(CeedDestroy(&(*dm)->ceed));
781: #endif
782: /* We do not destroy (*dm)->data here so that we can reference count backend objects */
783: PetscCall(PetscHeaderDestroy(dm));
784: PetscFunctionReturn(PETSC_SUCCESS);
785: }
787: /*@
788: DMSetUp - sets up the data structures inside a `DM` object
790: Collective
792: Input Parameter:
793: . dm - the `DM` object to setup
795: Level: intermediate
797: Note:
798: This is usually called after various parameter setting operations and `DMSetFromOptions()` are called on the `DM`
800: .seealso: [](ch_dmbase), `DM`, `DMCreate()`, `DMSetType()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`
801: @*/
802: PetscErrorCode DMSetUp(DM dm)
803: {
804: PetscFunctionBegin;
806: if (dm->setupcalled) PetscFunctionReturn(PETSC_SUCCESS);
807: PetscTryTypeMethod(dm, setup);
808: dm->setupcalled = PETSC_TRUE;
809: PetscFunctionReturn(PETSC_SUCCESS);
810: }
812: /*@
813: DMSetFromOptions - sets parameters in a `DM` from the options database
815: Collective
817: Input Parameter:
818: . dm - the `DM` object to set options for
820: Options Database Keys:
821: + -dm_preallocate_only - Only preallocate the matrix for `DMCreateMatrix()` and `DMCreateMassMatrix()`, but do not fill it with zeros
822: . -dm_vec_type <type> - type of vector to create inside `DM`
823: . -dm_mat_type <type> - type of matrix to create inside `DM`
824: . -dm_is_coloring_type - <global or local>
825: . -dm_bind_below <n> - bind (force execution on CPU) for `Vec` and `Mat` objects with local size (number of vector entries or matrix rows) below n; currently only supported for `DMDA`
826: . -dm_plex_option_phases <ph0_, ph1_, ...> - List of prefixes for option processing phases
827: . -dm_plex_filename <str> - File containing a mesh
828: . -dm_plex_boundary_filename <str> - File containing a mesh boundary
829: . -dm_plex_name <str> - Name of the mesh in the file
830: . -dm_plex_shape <shape> - The domain shape, such as `BOX`, `SPHERE`, etc.
831: . -dm_plex_cell <ct> - Cell shape
832: . -dm_plex_reference_cell_domain <bool> - Use a reference cell domain
833: . -dm_plex_dim <dim> - Set the topological dimension
834: . -dm_plex_simplex <bool> - `PETSC_TRUE` for simplex elements, `PETSC_FALSE` for tensor elements
835: . -dm_plex_interpolate <bool> - `PETSC_TRUE` turns on topological interpolation (creating edges and faces)
836: . -dm_plex_orient <bool> - `PETSC_TRUE` turns on topological orientation (flipping edges and faces)
837: . -dm_plex_scale <sc> - Scale factor for mesh coordinates
838: . -dm_coord_remap <bool> - Map coordinates using a function
839: . -dm_plex_coordinate_dim <dim> - Change the coordinate dimension of a mesh (usually given with cdm_ prefix)
840: . -dm_coord_map <mapname> - Select a builtin coordinate map
841: . -dm_coord_map_params <p0,p1,p2,...> - Set coordinate mapping parameters
842: . -dm_plex_box_faces <m,n,p> - Number of faces along each dimension
843: . -dm_plex_box_lower <x,y,z> - Specify lower-left-bottom coordinates for the box
844: . -dm_plex_box_upper <x,y,z> - Specify upper-right-top coordinates for the box
845: . -dm_plex_box_bd <bx,by,bz> - Specify the `DMBoundaryType` for each direction
846: . -dm_plex_sphere_radius <r> - The sphere radius
847: . -dm_plex_ball_radius <r> - Radius of the ball
848: . -dm_plex_cylinder_bd <bz> - Boundary type in the z direction
849: . -dm_plex_cylinder_num_wedges <n> - Number of wedges around the cylinder
850: . -dm_plex_reorder <order> - Reorder the mesh using the specified algorithm
851: . -dm_refine_pre <n> - The number of refinements before distribution
852: . -dm_refine_uniform_pre <bool> - Flag for uniform refinement before distribution
853: . -dm_refine_volume_limit_pre <v> - The maximum cell volume after refinement before distribution
854: . -dm_refine <n> - The number of refinements after distribution
855: . -dm_extrude <l> - Activate extrusion and specify the number of layers to extrude
856: . -dm_plex_save_transform <bool> - Save the `DMPlexTransform` that produced this mesh
857: . -dm_plex_transform_extrude_thickness <t> - The total thickness of extruded layers
858: . -dm_plex_transform_extrude_use_tensor <bool> - Use tensor cells when extruding
859: . -dm_plex_transform_extrude_symmetric <bool> - Extrude layers symmetrically about the surface
860: . -dm_plex_transform_extrude_normal <n0,...,nd> - Specify the extrusion direction
861: . -dm_plex_transform_extrude_thicknesses <t0,...,tl> - Specify thickness of each layer
862: . -dm_plex_create_fv_ghost_cells - Flag to create finite volume ghost cells on the boundary
863: . -dm_plex_fv_ghost_cells_label <name> - Label name for ghost cells boundary
864: . -dm_distribute <bool> - Flag to redistribute a mesh among processes
865: . -dm_distribute_overlap <n> - The size of the overlap halo
866: . -dm_plex_adj_cone <bool> - Set adjacency direction
867: . -dm_plex_adj_closure <bool> - Set adjacency size
868: . -dm_plex_use_ceed <bool> - Use LibCEED as the FEM backend
869: . -dm_plex_check_symmetry - Check that the adjacency information in the mesh is symmetric - `DMPlexCheckSymmetry()`
870: . -dm_plex_check_skeleton - Check that each cell has the correct number of vertices (only for homogeneous simplex or tensor meshes) - `DMPlexCheckSkeleton()`
871: . -dm_plex_check_faces - Check that the faces of each cell give a vertex order this is consistent with what we expect from the cell type - `DMPlexCheckFaces()`
872: . -dm_plex_check_geometry - Check that cells have positive volume - `DMPlexCheckGeometry()`
873: . -dm_plex_check_pointsf - Check some necessary conditions for `PointSF` - `DMPlexCheckPointSF()`
874: . -dm_plex_check_interface_cones - Check points on inter-partition interfaces have conforming order of cone points - `DMPlexCheckInterfaceCones()`
875: - -dm_plex_check_all - Perform all the checks above
877: Level: intermediate
879: Note:
880: For some `DMType` such as `DMDA` this cannot be called after `DMSetUp()` has been called.
882: .seealso: [](ch_dmbase), `DM`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`,
883: `DMPlexCheckSymmetry()`, `DMPlexCheckSkeleton()`, `DMPlexCheckFaces()`, `DMPlexCheckGeometry()`, `DMPlexCheckPointSF()`, `DMPlexCheckInterfaceCones()`,
884: `DMSetOptionsPrefix()`, `DMType`, `DMPLEX`, `DMDA`, `DMSetUp()`
885: @*/
886: PetscErrorCode DMSetFromOptions(DM dm)
887: {
888: char typeName[256];
889: PetscBool flg;
891: PetscFunctionBegin;
893: dm->setfromoptionscalled = PETSC_TRUE;
894: if (dm->sf) PetscCall(PetscSFSetFromOptions(dm->sf));
895: if (dm->sectionSF) PetscCall(PetscSFSetFromOptions(dm->sectionSF));
896: if (dm->coordinates[0].dm) PetscCall(DMSetFromOptions(dm->coordinates[0].dm));
897: PetscObjectOptionsBegin((PetscObject)dm);
898: PetscCall(PetscOptionsBool("-dm_preallocate_only", "only preallocate matrix, but do not set column indices", "DMSetMatrixPreallocateOnly", dm->prealloc_only, &dm->prealloc_only, NULL));
899: PetscCall(PetscOptionsFList("-dm_vec_type", "Vector type used for created vectors", "DMSetVecType", VecList, dm->vectype, typeName, 256, &flg));
900: if (flg) PetscCall(DMSetVecType(dm, typeName));
901: PetscCall(PetscOptionsFList("-dm_mat_type", "Matrix type used for created matrices", "DMSetMatType", MatList, dm->mattype ? dm->mattype : typeName, typeName, sizeof(typeName), &flg));
902: if (flg) PetscCall(DMSetMatType(dm, typeName));
903: PetscCall(PetscOptionsEnum("-dm_blocking_type", "Topological point or field node blocking", "DMSetBlockingType", DMBlockingTypes, (PetscEnum)dm->blocking_type, (PetscEnum *)&dm->blocking_type, NULL));
904: PetscCall(PetscOptionsEnum("-dm_is_coloring_type", "Global or local coloring of Jacobian", "DMSetISColoringType", ISColoringTypes, (PetscEnum)dm->coloringtype, (PetscEnum *)&dm->coloringtype, NULL));
905: PetscCall(PetscOptionsInt("-dm_bind_below", "Set the size threshold (in entries) below which the Vec is bound to the CPU", "VecBindToCPU", dm->bind_below, &dm->bind_below, &flg));
906: PetscCall(PetscOptionsBool("-dm_ignore_perm_output", "Ignore the local section permutation on output", "DMGetOutputDM", dm->ignorePermOutput, &dm->ignorePermOutput, NULL));
907: PetscTryTypeMethod(dm, setfromoptions, PetscOptionsObject);
908: /* process any options handlers added with PetscObjectAddOptionsHandler() */
909: PetscCall(PetscObjectProcessOptionsHandlers((PetscObject)dm, PetscOptionsObject));
910: PetscOptionsEnd();
911: PetscFunctionReturn(PETSC_SUCCESS);
912: }
914: /*@
915: DMViewFromOptions - View a `DM` in a particular way based on a request in the options database
917: Collective
919: Input Parameters:
920: + dm - the `DM` object
921: . obj - optional object that provides the prefix for the options database (if `NULL` then the prefix in `obj` is used)
922: - name - option string that is used to activate viewing
924: Level: intermediate
926: Note:
927: See `PetscObjectViewFromOptions()` for a list of values that can be provided in the options database to determine how the `DM` is viewed
929: .seealso: [](ch_dmbase), `DM`, `DMView()`, `PetscObjectViewFromOptions()`, `DMCreate()`
930: @*/
931: PetscErrorCode DMViewFromOptions(DM dm, PeOp PetscObject obj, const char name[])
932: {
933: PetscFunctionBegin;
935: PetscCall(PetscObjectViewFromOptions((PetscObject)dm, obj, name));
936: PetscFunctionReturn(PETSC_SUCCESS);
937: }
939: /*@
940: DMView - Views a `DM`. Depending on the `PetscViewer` and its `PetscViewerFormat` it may print some ASCII information about the `DM` to the screen or a file or
941: save the `DM` in a binary file to be loaded later or create a visualization of the `DM`
943: Collective
945: Input Parameters:
946: + dm - the `DM` object to view
947: - v - the viewer
949: Options Database Keys:
950: + -view_pyvista_warp <f> - Warps the mesh by the active scalar with factor f
951: . -view_pyvista_clip <xl,xu,yl,yu,zl,zu> - Defines the clipping box
952: . -dm_view_draw_line_color <int> - Specify the X-window color for cell borders
953: . -dm_view_draw_cell_color <int> - Specify the X-window color for cells
954: - -dm_view_draw_affine <bool> - Flag to ignore high-order edges
956: Level: beginner
958: Notes:
960: `PetscViewer` = `PETSCVIEWERHDF5` i.e. HDF5 format can be used with `PETSC_VIEWER_HDF5_PETSC` as the `PetscViewerFormat` to save multiple `DMPLEX`
961: meshes in a single HDF5 file. This in turn requires one to name the `DMPLEX` object with `PetscObjectSetName()`
962: before saving it with `DMView()` and before loading it with `DMLoad()` for identification of the mesh object.
964: `PetscViewer` = `PETSCVIEWEREXODUSII` i.e. ExodusII format assumes that element blocks (mapped to "Cell sets" labels)
965: consists of sequentially numbered cells.
967: If `dm` has been distributed, only the part of the `DM` on MPI rank 0 (including "ghost" cells and vertices) will be written.
969: Only TRI, TET, QUAD, and HEX cells are supported in ExodusII.
971: `DMPLEX` only represents geometry while most post-processing software expect that a mesh also provides information on the discretization space. This function assumes that the file represents Lagrange finite elements of order 1 or 2.
972: The order of the mesh shall be set using `PetscViewerExodusIISetOrder()`
974: Variable names can be set and queried using `PetscViewerExodusII[Set/Get][Nodal/Zonal]VariableNames[s]`.
976: .seealso: [](ch_dmbase), `DM`, `PetscViewer`, `PetscViewerFormat`, `PetscViewerSetFormat()`, `DMDestroy()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMLoad()`, `PetscObjectSetName()`
977: @*/
978: PetscErrorCode DMView(DM dm, PetscViewer v)
979: {
980: PetscBool isbinary;
981: PetscMPIInt size;
982: PetscViewerFormat format;
984: PetscFunctionBegin;
986: if (!v) PetscCall(PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)dm), &v));
988: /* Ideally, we would like to have this test on.
989: However, it currently breaks socket viz via GLVis.
990: During DMView(parallel_mesh,glvis_viewer), each
991: process opens a sequential ASCII socket to visualize
992: the local mesh, and PetscObjectView(dm,local_socket)
993: is internally called inside VecView_GLVis, incurring
994: in an error here */
995: /* PetscCheckSameComm(dm,1,v,2); */
996: PetscCall(PetscViewerCheckWritable(v));
998: PetscCall(PetscLogEventBegin(DM_View, v, 0, 0, 0));
999: PetscCall(PetscViewerGetFormat(v, &format));
1000: PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)dm), &size));
1001: if (size == 1 && format == PETSC_VIEWER_LOAD_BALANCE) PetscFunctionReturn(PETSC_SUCCESS);
1002: PetscCall(PetscObjectPrintClassNamePrefixType((PetscObject)dm, v));
1003: PetscCall(PetscObjectTypeCompare((PetscObject)v, PETSCVIEWERBINARY, &isbinary));
1004: if (isbinary) {
1005: PetscInt classid = DM_FILE_CLASSID;
1006: char type[256];
1008: PetscCall(PetscViewerBinaryWrite(v, &classid, 1, PETSC_INT));
1009: PetscCall(PetscStrncpy(type, ((PetscObject)dm)->type_name, sizeof(type)));
1010: PetscCall(PetscViewerBinaryWrite(v, type, 256, PETSC_CHAR));
1011: }
1012: PetscTryTypeMethod(dm, view, v);
1013: PetscCall(PetscLogEventEnd(DM_View, v, 0, 0, 0));
1014: PetscFunctionReturn(PETSC_SUCCESS);
1015: }
1017: /*@
1018: DMCreateGlobalVector - Creates a global vector from a `DM` object. A global vector is a parallel vector that has no duplicate values shared between MPI ranks,
1019: that is it has no ghost locations.
1021: Collective
1023: Input Parameter:
1024: . dm - the `DM` object
1026: Output Parameter:
1027: . vec - the global vector
1029: Level: beginner
1031: .seealso: [](ch_dmbase), `DM`, `Vec`, `DMCreateLocalVector()`, `DMGetGlobalVector()`, `DMDestroy()`, `DMView()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`,
1032: `DMGlobalToLocalBegin()`, `DMGlobalToLocalEnd()`
1033: @*/
1034: PetscErrorCode DMCreateGlobalVector(DM dm, Vec *vec)
1035: {
1036: PetscFunctionBegin;
1038: PetscAssertPointer(vec, 2);
1039: PetscUseTypeMethod(dm, createglobalvector, vec);
1040: if (PetscDefined(USE_DEBUG)) {
1041: DM vdm;
1043: PetscCall(VecGetDM(*vec, &vdm));
1044: PetscCheck(vdm, PETSC_COMM_SELF, PETSC_ERR_PLIB, "DM type '%s' did not attach the DM to the vector", ((PetscObject)dm)->type_name);
1045: }
1046: PetscFunctionReturn(PETSC_SUCCESS);
1047: }
1049: /*@
1050: DMCreateLocalVector - Creates a local vector from a `DM` object.
1052: Not Collective
1054: Input Parameter:
1055: . dm - the `DM` object
1057: Output Parameter:
1058: . vec - the local vector
1060: Level: beginner
1062: Note:
1063: A local vector usually has ghost locations that contain values that are owned by different MPI ranks. A global vector has no ghost locations.
1065: .seealso: [](ch_dmbase), `DM`, `Vec`, `DMCreateGlobalVector()`, `DMGetLocalVector()`, `DMDestroy()`, `DMView()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`
1066: `DMGlobalToLocalBegin()`, `DMGlobalToLocalEnd()`
1067: @*/
1068: PetscErrorCode DMCreateLocalVector(DM dm, Vec *vec)
1069: {
1070: PetscFunctionBegin;
1072: PetscAssertPointer(vec, 2);
1073: PetscUseTypeMethod(dm, createlocalvector, vec);
1074: if (PetscDefined(USE_DEBUG)) {
1075: DM vdm;
1077: PetscCall(VecGetDM(*vec, &vdm));
1078: PetscCheck(vdm, PETSC_COMM_SELF, PETSC_ERR_LIB, "DM type '%s' did not attach the DM to the vector", ((PetscObject)dm)->type_name);
1079: }
1080: PetscFunctionReturn(PETSC_SUCCESS);
1081: }
1083: /*@
1084: DMGetLocalToGlobalMapping - Accesses the local-to-global mapping in a `DM`.
1086: Collective
1088: Input Parameter:
1089: . dm - the `DM` that provides the mapping
1091: Output Parameter:
1092: . ltog - the mapping
1094: Level: advanced
1096: Notes:
1097: The global to local mapping allows one to set values into the global vector or matrix using `VecSetValuesLocal()` and `MatSetValuesLocal()`
1099: Vectors obtained with `DMCreateGlobalVector()` and matrices obtained with `DMCreateMatrix()` already contain the global mapping so you do
1100: need to use this function with those objects.
1102: This mapping can then be used by `VecSetLocalToGlobalMapping()` or `MatSetLocalToGlobalMapping()`.
1104: .seealso: [](ch_dmbase), `DM`, `DMCreateLocalVector()`, `DMCreateGlobalVector()`, `VecSetLocalToGlobalMapping()`, `MatSetLocalToGlobalMapping()`,
1105: `DMCreateMatrix()`
1106: @*/
1107: PetscErrorCode DMGetLocalToGlobalMapping(DM dm, ISLocalToGlobalMapping *ltog)
1108: {
1109: PetscInt bs = -1, bsLocal[2], bsMinMax[2];
1111: PetscFunctionBegin;
1113: PetscAssertPointer(ltog, 2);
1114: if (!dm->ltogmap) {
1115: PetscSection section, sectionGlobal;
1117: PetscCall(DMGetLocalSection(dm, §ion));
1118: if (section) {
1119: const PetscInt *cdofs;
1120: PetscInt *ltog;
1121: PetscInt pStart, pEnd, n, p, k, l;
1123: PetscCall(DMGetGlobalSection(dm, §ionGlobal));
1124: PetscCall(PetscSectionGetChart(section, &pStart, &pEnd));
1125: PetscCall(PetscSectionGetStorageSize(section, &n));
1126: PetscCall(PetscMalloc1(n, <og)); /* We want the local+overlap size */
1127: for (p = pStart, l = 0; p < pEnd; ++p) {
1128: PetscInt bdof, cdof, dof, off, c, cind;
1130: /* Should probably use constrained dofs */
1131: PetscCall(PetscSectionGetDof(section, p, &dof));
1132: PetscCall(PetscSectionGetConstraintDof(section, p, &cdof));
1133: PetscCall(PetscSectionGetConstraintIndices(section, p, &cdofs));
1134: PetscCall(PetscSectionGetOffset(sectionGlobal, p, &off));
1135: /* If you have dofs, and constraints, and they are unequal, we set the blocksize to 1 */
1136: bdof = cdof && (dof - cdof) ? 1 : dof;
1137: if (dof) bs = bs < 0 ? bdof : PetscGCD(bs, bdof);
1139: for (c = 0, cind = 0; c < dof; ++c, ++l) {
1140: if (cind < cdof && c == cdofs[cind]) {
1141: ltog[l] = off < 0 ? off - c : -(off + c + 1);
1142: cind++;
1143: } else {
1144: ltog[l] = (off < 0 ? -(off + 1) : off) + c - cind;
1145: }
1146: }
1147: }
1148: /* Must have same blocksize on all procs (some might have no points) */
1149: bsLocal[0] = bs < 0 ? PETSC_INT_MAX : bs;
1150: bsLocal[1] = bs;
1151: PetscCall(PetscGlobalMinMaxInt(PetscObjectComm((PetscObject)dm), bsLocal, bsMinMax));
1152: if (bsMinMax[0] != bsMinMax[1]) {
1153: bs = 1;
1154: } else {
1155: bs = bsMinMax[0];
1156: }
1157: bs = bs < 0 ? 1 : bs;
1158: /* Must reduce indices by blocksize */
1159: if (bs > 1) {
1160: for (l = 0, k = 0; l < n; l += bs, ++k) {
1161: // Integer division of negative values truncates toward zero(!), not toward negative infinity
1162: ltog[k] = ltog[l] >= 0 ? ltog[l] / bs : -(-(ltog[l] + 1) / bs + 1);
1163: }
1164: n /= bs;
1165: }
1166: PetscCall(ISLocalToGlobalMappingCreate(PetscObjectComm((PetscObject)dm), bs, n, ltog, PETSC_OWN_POINTER, &dm->ltogmap));
1167: } else PetscUseTypeMethod(dm, getlocaltoglobalmapping);
1168: }
1169: *ltog = dm->ltogmap;
1170: PetscFunctionReturn(PETSC_SUCCESS);
1171: }
1173: /*@
1174: DMGetBlockSize - Gets the inherent block size associated with a `DM`
1176: Not Collective
1178: Input Parameter:
1179: . dm - the `DM` with block structure
1181: Output Parameter:
1182: . bs - the block size, 1 implies no exploitable block structure
1184: Level: intermediate
1186: Notes:
1187: This might be the number of degrees of freedom at each grid point for a structured grid.
1189: Complex `DM` that represent multiphysics or staggered grids or mixed-methods do not generally have a single inherent block size, but
1190: rather different locations in the vectors may have a different block size.
1192: .seealso: [](ch_dmbase), `DM`, `ISCreateBlock()`, `VecSetBlockSize()`, `MatSetBlockSize()`, `DMGetLocalToGlobalMapping()`
1193: @*/
1194: PetscErrorCode DMGetBlockSize(DM dm, PetscInt *bs)
1195: {
1196: PetscFunctionBegin;
1198: PetscAssertPointer(bs, 2);
1199: PetscCheck(dm->bs >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "DM does not have enough information to provide a block size yet");
1200: *bs = dm->bs;
1201: PetscFunctionReturn(PETSC_SUCCESS);
1202: }
1204: /*@
1205: DMCreateInterpolation - Gets the interpolation matrix between two `DM` objects. The resulting matrix map degrees of freedom in the vector obtained by
1206: `DMCreateGlobalVector()` on the coarse `DM` to similar vectors on the fine grid `DM`.
1208: Collective
1210: Input Parameters:
1211: + dmc - the `DM` object
1212: - dmf - the second, finer `DM` object
1214: Output Parameters:
1215: + mat - the interpolation
1216: - vec - the scaling (optional, pass `NULL` if not needed), see `DMCreateInterpolationScale()`
1218: Level: developer
1220: Notes:
1221: For `DMDA` objects this only works for "uniform refinement", that is the refined mesh was obtained `DMRefine()` or the coarse mesh was obtained by
1222: DMCoarsen(). The coordinates set into the `DMDA` are completely ignored in computing the interpolation.
1224: For `DMDA` objects you can use this interpolation (more precisely the interpolation from the `DMGetCoordinateDM()`) to interpolate the mesh coordinate
1225: vectors EXCEPT in the periodic case where it does not make sense since the coordinate vectors are not periodic.
1227: .seealso: [](ch_dmbase), `DM`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMRefine()`, `DMCoarsen()`, `DMCreateRestriction()`, `DMCreateInterpolationScale()`
1228: @*/
1229: PetscErrorCode DMCreateInterpolation(DM dmc, DM dmf, Mat *mat, Vec *vec)
1230: {
1231: PetscFunctionBegin;
1234: PetscAssertPointer(mat, 3);
1235: PetscCall(PetscLogEventBegin(DM_CreateInterpolation, dmc, dmf, 0, 0));
1236: PetscUseTypeMethod(dmc, createinterpolation, dmf, mat, vec);
1237: PetscCall(PetscLogEventEnd(DM_CreateInterpolation, dmc, dmf, 0, 0));
1238: PetscFunctionReturn(PETSC_SUCCESS);
1239: }
1241: /*@
1242: DMCreateInterpolationScale - Forms L = 1/(R*1) where 1 is the vector of all ones, and R is
1243: the transpose of the interpolation between the `DM`.
1245: Input Parameters:
1246: + dac - `DM` that defines a coarse mesh
1247: . daf - `DM` that defines a fine mesh
1248: - mat - the restriction (or interpolation operator) from fine to coarse
1250: Output Parameter:
1251: . scale - the scaled vector
1253: Level: advanced
1255: Note:
1256: xcoarse = diag(L)*R*xfine preserves scale and is thus suitable for state (versus residual)
1257: restriction. In other words xcoarse is the coarse representation of xfine.
1259: Developer Note:
1260: If the fine-scale `DMDA` has the -dm_bind_below option set to true, then `DMCreateInterpolationScale()` calls `MatSetBindingPropagates()`
1261: on the restriction/interpolation operator to set the bindingpropagates flag to true.
1263: .seealso: [](ch_dmbase), `DM`, `MatRestrict()`, `MatInterpolate()`, `DMCreateInterpolation()`, `DMCreateRestriction()`, `DMCreateGlobalVector()`
1264: @*/
1265: PetscErrorCode DMCreateInterpolationScale(DM dac, DM daf, Mat mat, Vec *scale)
1266: {
1267: Vec fine;
1268: PetscScalar one = 1.0;
1269: #if defined(PETSC_HAVE_CUDA)
1270: PetscBool bindingpropagates, isbound;
1271: #endif
1273: PetscFunctionBegin;
1274: PetscCall(DMCreateGlobalVector(daf, &fine));
1275: PetscCall(DMCreateGlobalVector(dac, scale));
1276: PetscCall(VecSet(fine, one));
1277: #if defined(PETSC_HAVE_CUDA)
1278: /* If the 'fine' Vec is bound to the CPU, it makes sense to bind 'mat' as well.
1279: * Note that we only do this for the CUDA case, right now, but if we add support for MatMultTranspose() via ViennaCL,
1280: * we'll need to do it for that case, too.*/
1281: PetscCall(VecGetBindingPropagates(fine, &bindingpropagates));
1282: if (bindingpropagates) {
1283: PetscCall(MatSetBindingPropagates(mat, PETSC_TRUE));
1284: PetscCall(VecBoundToCPU(fine, &isbound));
1285: PetscCall(MatBindToCPU(mat, isbound));
1286: }
1287: #endif
1288: PetscCall(MatRestrict(mat, fine, *scale));
1289: PetscCall(VecDestroy(&fine));
1290: PetscCall(VecReciprocal(*scale));
1291: PetscFunctionReturn(PETSC_SUCCESS);
1292: }
1294: /*@
1295: DMCreateRestriction - Gets restriction matrix between two `DM` objects. The resulting matrix map degrees of freedom in the vector obtained by
1296: `DMCreateGlobalVector()` on the fine `DM` to similar vectors on the coarse grid `DM`.
1298: Collective
1300: Input Parameters:
1301: + dmc - the `DM` object
1302: - dmf - the second, finer `DM` object
1304: Output Parameter:
1305: . mat - the restriction
1307: Level: developer
1309: Note:
1310: This only works for `DMSTAG`. For many situations either the transpose of the operator obtained with `DMCreateInterpolation()` or that
1311: matrix multiplied by the vector obtained with `DMCreateInterpolationScale()` provides the desired object.
1313: .seealso: [](ch_dmbase), `DM`, `DMRestrict()`, `DMInterpolate()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMRefine()`, `DMCoarsen()`, `DMCreateInterpolation()`
1314: @*/
1315: PetscErrorCode DMCreateRestriction(DM dmc, DM dmf, Mat *mat)
1316: {
1317: PetscFunctionBegin;
1320: PetscAssertPointer(mat, 3);
1321: PetscCall(PetscLogEventBegin(DM_CreateRestriction, dmc, dmf, 0, 0));
1322: PetscUseTypeMethod(dmc, createrestriction, dmf, mat);
1323: PetscCall(PetscLogEventEnd(DM_CreateRestriction, dmc, dmf, 0, 0));
1324: PetscFunctionReturn(PETSC_SUCCESS);
1325: }
1327: /*@
1328: DMCreateInjection - Gets injection matrix between two `DM` objects.
1330: Collective
1332: Input Parameters:
1333: + dac - the `DM` object
1334: - daf - the second, finer `DM` object
1336: Output Parameter:
1337: . mat - the injection
1339: Level: developer
1341: Notes:
1342: This is an operator that applied to a vector obtained with `DMCreateGlobalVector()` on the
1343: fine grid maps the values to a vector on the vector on the coarse `DM` by simply selecting
1344: the values on the coarse grid points. This compares to the operator obtained by
1345: `DMCreateRestriction()` or the transpose of the operator obtained by
1346: `DMCreateInterpolation()` that uses a "local weighted average" of the values around the
1347: coarse grid point as the coarse grid value.
1349: For `DMDA` objects this only works for "uniform refinement", that is the refined mesh was obtained `DMRefine()` or the coarse mesh was obtained by
1350: `DMCoarsen()`. The coordinates set into the `DMDA` are completely ignored in computing the injection.
1352: .seealso: [](ch_dmbase), `DM`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMCreateInterpolation()`,
1353: `DMCreateRestriction()`, `MatRestrict()`, `MatInterpolate()`
1354: @*/
1355: PetscErrorCode DMCreateInjection(DM dac, DM daf, Mat *mat)
1356: {
1357: PetscFunctionBegin;
1360: PetscAssertPointer(mat, 3);
1361: PetscCall(PetscLogEventBegin(DM_CreateInjection, dac, daf, 0, 0));
1362: PetscUseTypeMethod(dac, createinjection, daf, mat);
1363: PetscCall(PetscLogEventEnd(DM_CreateInjection, dac, daf, 0, 0));
1364: PetscFunctionReturn(PETSC_SUCCESS);
1365: }
1367: /*@
1368: DMCreateMassMatrix - Gets the mass matrix between two `DM` objects, M_ij = \int \phi_i \psi_j where the \phi are Galerkin basis functions for a
1369: a Galerkin finite element model on the `DM`
1371: Collective
1373: Input Parameters:
1374: + dmc - the target `DM` object
1375: - dmf - the source `DM` object, can be `NULL`
1377: Output Parameter:
1378: . mat - the mass matrix
1380: Level: developer
1382: Notes:
1383: For `DMPLEX` the finite element model for the `DM` must have been already provided.
1385: if `dmc` is `dmf` or `NULL`, then x^t M x is an approximation to the L2 norm of the vector x which is obtained by `DMCreateGlobalVector()`
1387: .seealso: [](ch_dmbase), `DM`, `DMCreateMassMatrixLumped()`, `DMCreateMatrix()`, `DMRefine()`, `DMCoarsen()`, `DMCreateRestriction()`, `DMCreateInterpolation()`, `DMCreateInjection()`
1388: @*/
1389: PetscErrorCode DMCreateMassMatrix(DM dmc, DM dmf, Mat *mat)
1390: {
1391: PetscFunctionBegin;
1393: if (!dmf) dmf = dmc;
1395: PetscAssertPointer(mat, 3);
1396: PetscCall(PetscLogEventBegin(DM_CreateMassMatrix, dmc, dmf, 0, 0));
1397: PetscUseTypeMethod(dmc, createmassmatrix, dmf, mat);
1398: PetscCall(PetscLogEventEnd(DM_CreateMassMatrix, dmc, dmf, 0, 0));
1399: PetscFunctionReturn(PETSC_SUCCESS);
1400: }
1402: /*@
1403: DMCreateMassMatrixLumped - Gets the lumped mass matrix for a given `DM`
1405: Collective
1407: Input Parameter:
1408: . dm - the `DM` object
1410: Output Parameters:
1411: + llm - the local lumped mass matrix, which is a diagonal matrix, represented as a vector
1412: - lm - the global lumped mass matrix, which is a diagonal matrix, represented as a vector
1414: Level: developer
1416: Note:
1417: See `DMCreateMassMatrix()` for how to create the non-lumped version of the mass matrix.
1419: .seealso: [](ch_dmbase), `DM`, `DMCreateMassMatrix()`, `DMCreateMatrix()`, `DMRefine()`, `DMCoarsen()`, `DMCreateRestriction()`, `DMCreateInterpolation()`, `DMCreateInjection()`
1420: @*/
1421: PetscErrorCode DMCreateMassMatrixLumped(DM dm, Vec *llm, Vec *lm)
1422: {
1423: PetscFunctionBegin;
1425: if (llm) PetscAssertPointer(llm, 2);
1426: if (lm) PetscAssertPointer(lm, 3);
1427: if (llm || lm) PetscUseTypeMethod(dm, createmassmatrixlumped, llm, lm);
1428: PetscFunctionReturn(PETSC_SUCCESS);
1429: }
1431: /*@
1432: DMCreateGradientMatrix - Gets the gradient matrix between two `DM` objects, M_(ic)j = \int \partial_c \phi_i \psi_j where the \phi are Galerkin basis functions for a Galerkin finite element model on the `DM`
1434: Collective
1436: Input Parameters:
1437: + dmc - the target `DM` object
1438: - dmf - the source `DM` object, can be `NULL`
1440: Output Parameter:
1441: . mat - the gradient matrix
1443: Level: developer
1445: Notes:
1446: For `DMPLEX` the finite element model for the `DM` must have been already provided.
1448: .seealso: [](ch_dmbase), `DM`, `DMCreateMassMatrix()`, `DMCreateMassMatrixLumped()`, `DMCreateMatrix()`, `DMRefine()`, `DMCoarsen()`, `DMCreateRestriction()`, `DMCreateInterpolation()`, `DMCreateInjection()`
1449: @*/
1450: PetscErrorCode DMCreateGradientMatrix(DM dmc, DM dmf, Mat *mat)
1451: {
1452: PetscFunctionBegin;
1454: if (!dmf) dmf = dmc;
1456: PetscAssertPointer(mat, 3);
1457: PetscUseTypeMethod(dmc, creategradientmatrix, dmf, mat);
1458: PetscFunctionReturn(PETSC_SUCCESS);
1459: }
1461: /*@
1462: DMCreateColoring - Gets coloring of a graph associated with the `DM`. Often the graph represents the operator matrix associated with the discretization
1463: of a PDE on the `DM`.
1465: Collective
1467: Input Parameters:
1468: + dm - the `DM` object
1469: - ctype - `IS_COLORING_LOCAL` or `IS_COLORING_GLOBAL`
1471: Output Parameter:
1472: . coloring - the coloring
1474: Level: developer
1476: Notes:
1477: Coloring of matrices can also be computed directly from the sparse matrix nonzero structure via the `MatColoring` object or from the mesh from which the
1478: matrix comes from (what this function provides). In general using the mesh produces a more optimal coloring (fewer colors).
1480: This produces a coloring with the distance of 2, see `MatSetColoringDistance()` which can be used for efficiently computing Jacobians with `MatFDColoringCreate()`
1481: For `DMDA` in three dimensions with periodic boundary conditions the number of grid points in each dimension must be divisible by 2*stencil_width + 1,
1482: otherwise an error will be generated.
1484: .seealso: [](ch_dmbase), `DM`, `ISColoring`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMSetMatType()`, `MatColoring`, `MatFDColoringCreate()`
1485: @*/
1486: PetscErrorCode DMCreateColoring(DM dm, ISColoringType ctype, ISColoring *coloring)
1487: {
1488: PetscFunctionBegin;
1490: PetscAssertPointer(coloring, 3);
1491: PetscUseTypeMethod(dm, getcoloring, ctype, coloring);
1492: PetscFunctionReturn(PETSC_SUCCESS);
1493: }
1495: /*@
1496: DMCreateMatrix - Gets an empty matrix for a `DM` that is most commonly used to store the Jacobian of a discrete PDE operator.
1498: Collective
1500: Input Parameter:
1501: . dm - the `DM` object
1503: Output Parameter:
1504: . mat - the empty Jacobian
1506: Options Database Key:
1507: . -dm_preallocate_only - Only preallocate the matrix for `DMCreateMatrix()` and `DMCreateMassMatrix()`, but do not fill it with zeros
1509: Level: beginner
1511: Notes:
1512: This properly preallocates the number of nonzeros in the sparse matrix so you
1513: do not need to do it yourself.
1515: By default it also sets the nonzero structure and puts in the zero entries. To prevent setting
1516: the nonzero pattern call `DMSetMatrixPreallocateOnly()`
1518: For `DMDA`, when you call `MatView()` on this matrix it is displayed using the global natural ordering, NOT in the ordering used
1519: internally by PETSc.
1521: For `DMDA`, in general it is easiest to use `MatSetValuesStencil()` or `MatSetValuesLocal()` to put values into the matrix because
1522: `MatSetValues()` requires the indices for the global numbering for the `DMDA` which is complic`ated to compute
1524: .seealso: [](ch_dmbase), `DM`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMSetMatType()`, `DMCreateMassMatrix()`
1525: @*/
1526: PetscErrorCode DMCreateMatrix(DM dm, Mat *mat)
1527: {
1528: PetscFunctionBegin;
1530: PetscAssertPointer(mat, 2);
1531: PetscCall(MatInitializePackage());
1532: PetscCall(PetscLogEventBegin(DM_CreateMatrix, 0, 0, 0, 0));
1533: PetscUseTypeMethod(dm, creatematrix, mat);
1534: if (PetscDefined(USE_DEBUG)) {
1535: DM mdm;
1537: PetscCall(MatGetDM(*mat, &mdm));
1538: PetscCheck(mdm, PETSC_COMM_SELF, PETSC_ERR_PLIB, "DM type '%s' did not attach the DM to the matrix", ((PetscObject)dm)->type_name);
1539: }
1540: /* Handle nullspace and near nullspace */
1541: if (dm->Nf) {
1542: MatNullSpace nullSpace;
1543: PetscInt Nf, f;
1545: PetscCall(DMGetNumFields(dm, &Nf));
1546: for (f = 0; f < Nf; ++f) {
1547: if (dm->nullspaceConstructors && dm->nullspaceConstructors[f]) {
1548: PetscCall((*dm->nullspaceConstructors[f])(dm, f, f, &nullSpace));
1549: PetscCall(MatSetNullSpace(*mat, nullSpace));
1550: PetscCall(MatNullSpaceDestroy(&nullSpace));
1551: break;
1552: }
1553: }
1554: for (f = 0; f < Nf; ++f) {
1555: if (dm->nearnullspaceConstructors && dm->nearnullspaceConstructors[f]) {
1556: PetscCall((*dm->nearnullspaceConstructors[f])(dm, f, f, &nullSpace));
1557: PetscCall(MatSetNearNullSpace(*mat, nullSpace));
1558: PetscCall(MatNullSpaceDestroy(&nullSpace));
1559: }
1560: }
1561: }
1562: PetscCall(PetscLogEventEnd(DM_CreateMatrix, 0, 0, 0, 0));
1563: PetscFunctionReturn(PETSC_SUCCESS);
1564: }
1566: /*@
1567: DMSetMatrixPreallocateSkip - When `DMCreateMatrix()` is called the matrix sizes and
1568: `ISLocalToGlobalMapping` will be properly set, but the data structures to store values in the
1569: matrices will not be preallocated.
1571: Logically Collective
1573: Input Parameters:
1574: + dm - the `DM`
1575: - skip - `PETSC_TRUE` to skip preallocation
1577: Level: developer
1579: Note:
1580: This is most useful to reduce initialization costs when `MatSetPreallocationCOO()` and
1581: `MatSetValuesCOO()` will be used.
1583: .seealso: [](ch_dmbase), `DM`, `DMCreateMatrix()`, `DMSetMatrixStructureOnly()`, `DMSetMatrixPreallocateOnly()`
1584: @*/
1585: PetscErrorCode DMSetMatrixPreallocateSkip(DM dm, PetscBool skip)
1586: {
1587: PetscFunctionBegin;
1589: dm->prealloc_skip = skip;
1590: PetscFunctionReturn(PETSC_SUCCESS);
1591: }
1593: /*@
1594: DMSetMatrixPreallocateOnly - When `DMCreateMatrix()` is called the matrix will be properly
1595: preallocated but the nonzero structure and zero values will not be set.
1597: Logically Collective
1599: Input Parameters:
1600: + dm - the `DM`
1601: - only - `PETSC_TRUE` if only want preallocation
1603: Options Database Key:
1604: . -dm_preallocate_only - Only preallocate the matrix for `DMCreateMatrix()`, `DMCreateMassMatrix()`, but do not fill it with zeros
1606: Level: developer
1608: .seealso: [](ch_dmbase), `DM`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMSetMatrixStructureOnly()`, `DMSetMatrixPreallocateSkip()`
1609: @*/
1610: PetscErrorCode DMSetMatrixPreallocateOnly(DM dm, PetscBool only)
1611: {
1612: PetscFunctionBegin;
1614: dm->prealloc_only = only;
1615: PetscFunctionReturn(PETSC_SUCCESS);
1616: }
1618: /*@
1619: DMSetMatrixStructureOnly - When `DMCreateMatrix()` is called, the matrix nonzero structure will be created
1620: but the array for numerical values will not be allocated.
1622: Logically Collective
1624: Input Parameters:
1625: + dm - the `DM`
1626: - only - `PETSC_TRUE` if you only want matrix nonzero structure
1628: Level: developer
1630: .seealso: [](ch_dmbase), `DM`, `DMCreateMatrix()`, `DMSetMatrixPreallocateOnly()`, `DMSetMatrixPreallocateSkip()`
1631: @*/
1632: PetscErrorCode DMSetMatrixStructureOnly(DM dm, PetscBool only)
1633: {
1634: PetscFunctionBegin;
1636: dm->structure_only = only;
1637: PetscFunctionReturn(PETSC_SUCCESS);
1638: }
1640: /*@
1641: DMSetBlockingType - set the blocking granularity to be used for variable block size `DMCreateMatrix()` is called
1643: Logically Collective
1645: Input Parameters:
1646: + dm - the `DM`
1647: - btype - block by topological point or field node
1649: Options Database Key:
1650: . -dm_blocking_type [topological_point, field_node] - use topological point blocking or field node blocking
1652: Level: advanced
1654: .seealso: [](ch_dmbase), `DM`, `DMCreateMatrix()`, `MatSetVariableBlockSizes()`
1655: @*/
1656: PetscErrorCode DMSetBlockingType(DM dm, DMBlockingType btype)
1657: {
1658: PetscFunctionBegin;
1660: dm->blocking_type = btype;
1661: PetscFunctionReturn(PETSC_SUCCESS);
1662: }
1664: /*@
1665: DMGetBlockingType - get the blocking granularity to be used for variable block size `DMCreateMatrix()` is called
1667: Not Collective
1669: Input Parameter:
1670: . dm - the `DM`
1672: Output Parameter:
1673: . btype - block by topological point or field node
1675: Level: advanced
1677: .seealso: [](ch_dmbase), `DM`, `DMCreateMatrix()`, `MatSetVariableBlockSizes()`
1678: @*/
1679: PetscErrorCode DMGetBlockingType(DM dm, DMBlockingType *btype)
1680: {
1681: PetscFunctionBegin;
1683: PetscAssertPointer(btype, 2);
1684: *btype = dm->blocking_type;
1685: PetscFunctionReturn(PETSC_SUCCESS);
1686: }
1688: /*@C
1689: DMGetWorkArray - Gets a work array guaranteed to be at least the input size, restore with `DMRestoreWorkArray()`
1691: Not Collective
1693: Input Parameters:
1694: + dm - the `DM` object
1695: . count - The minimum size
1696: - dtype - MPI data type, often `MPIU_REAL`, `MPIU_SCALAR`, or `MPIU_INT`)
1698: Output Parameter:
1699: . mem - the work array
1701: Level: developer
1703: Notes:
1704: A `DM` may stash the array between instantiations so using this routine may be more efficient than calling `PetscMalloc()`
1706: The array may contain nonzero values
1708: .seealso: [](ch_dmbase), `DM`, `DMDestroy()`, `DMCreate()`, `DMRestoreWorkArray()`, `PetscMalloc()`
1709: @*/
1710: PetscErrorCode DMGetWorkArray(DM dm, PetscInt count, MPI_Datatype dtype, void *mem)
1711: {
1712: DMWorkLink link;
1713: PetscMPIInt dsize;
1715: PetscFunctionBegin;
1717: PetscAssertPointer(mem, 4);
1718: if (!count) {
1719: *(void **)mem = NULL;
1720: PetscFunctionReturn(PETSC_SUCCESS);
1721: }
1722: if (dm->workin) {
1723: link = dm->workin;
1724: dm->workin = dm->workin->next;
1725: } else {
1726: PetscCall(PetscNew(&link));
1727: }
1728: /* Avoid MPI_Type_size for most used datatypes
1729: Get size directly */
1730: if (dtype == MPIU_INT) dsize = sizeof(PetscInt);
1731: else if (dtype == MPIU_REAL) dsize = sizeof(PetscReal);
1732: #if defined(PETSC_USE_64BIT_INDICES)
1733: else if (dtype == MPI_INT) dsize = sizeof(int);
1734: #endif
1735: #if defined(PETSC_USE_COMPLEX)
1736: else if (dtype == MPIU_SCALAR) dsize = sizeof(PetscScalar);
1737: #endif
1738: else PetscCallMPI(MPI_Type_size(dtype, &dsize));
1740: if (((size_t)dsize * count) > link->bytes) {
1741: PetscCall(PetscFree(link->mem));
1742: PetscCall(PetscMalloc(dsize * count, &link->mem));
1743: link->bytes = dsize * count;
1744: }
1745: link->next = dm->workout;
1746: dm->workout = link;
1747: *(void **)mem = link->mem;
1748: PetscFunctionReturn(PETSC_SUCCESS);
1749: }
1751: /*@C
1752: DMRestoreWorkArray - Restores a work array obtained with `DMCreateWorkArray()`
1754: Not Collective
1756: Input Parameters:
1757: + dm - the `DM` object
1758: . count - The minimum size
1759: - dtype - MPI data type, often `MPIU_REAL`, `MPIU_SCALAR`, `MPIU_INT`
1761: Output Parameter:
1762: . mem - the work array
1764: Level: developer
1766: Developer Note:
1767: count and dtype are ignored, they are only needed for `DMGetWorkArray()`
1769: .seealso: [](ch_dmbase), `DM`, `DMDestroy()`, `DMCreate()`, `DMGetWorkArray()`
1770: @*/
1771: PetscErrorCode DMRestoreWorkArray(DM dm, PetscInt count, MPI_Datatype dtype, void *mem)
1772: {
1773: DMWorkLink *p, link;
1775: PetscFunctionBegin;
1776: PetscAssertPointer(mem, 4);
1777: (void)count;
1778: (void)dtype;
1779: if (!*(void **)mem) PetscFunctionReturn(PETSC_SUCCESS);
1780: for (p = &dm->workout; (link = *p); p = &link->next) {
1781: if (link->mem == *(void **)mem) {
1782: *p = link->next;
1783: link->next = dm->workin;
1784: dm->workin = link;
1785: *(void **)mem = NULL;
1786: PetscFunctionReturn(PETSC_SUCCESS);
1787: }
1788: }
1789: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Array was not checked out");
1790: }
1792: /*@C
1793: DMSetNullSpaceConstructor - Provide a callback function which constructs the nullspace for a given field, defined with `DMAddField()`, when function spaces
1794: are joined or split, such as in `DMCreateSubDM()`
1796: Logically Collective; No Fortran Support
1798: Input Parameters:
1799: + dm - The `DM`
1800: . field - The field number for the nullspace
1801: - nullsp - A callback to create the nullspace
1803: Calling sequence of `nullsp`:
1804: + dm - The present `DM`
1805: . origField - The field number given above, in the original `DM`
1806: . field - The field number in dm
1807: - nullSpace - The nullspace for the given field
1809: Level: intermediate
1811: .seealso: [](ch_dmbase), `DM`, `DMAddField()`, `DMGetNullSpaceConstructor()`, `DMSetNearNullSpaceConstructor()`, `DMGetNearNullSpaceConstructor()`, `DMCreateSubDM()`, `DMCreateSuperDM()`
1812: @*/
1813: PetscErrorCode DMSetNullSpaceConstructor(DM dm, PetscInt field, PetscErrorCode (*nullsp)(DM dm, PetscInt origField, PetscInt field, MatNullSpace *nullSpace))
1814: {
1815: PetscFunctionBegin;
1817: PetscCheck(field < dm->Nf, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Cannot handle %" PetscInt_FMT " >= %" PetscInt_FMT " fields", field, dm->Nf);
1818: PetscCheck(dm->nullspaceConstructors, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONG, "Must call DMCreateDS() to setup nullspaces");
1819: dm->nullspaceConstructors[field] = nullsp;
1820: PetscFunctionReturn(PETSC_SUCCESS);
1821: }
1823: /*@C
1824: DMGetNullSpaceConstructor - Return the callback function which constructs the nullspace for a given field, defined with `DMAddField()`
1826: Not Collective; No Fortran Support
1828: Input Parameters:
1829: + dm - The `DM`
1830: - field - The field number for the nullspace
1832: Output Parameter:
1833: . nullsp - A callback to create the nullspace
1835: Calling sequence of `nullsp`:
1836: + dm - The present DM
1837: . origField - The field number given above, in the original DM
1838: . field - The field number in dm
1839: - nullSpace - The nullspace for the given field
1841: Level: intermediate
1843: .seealso: [](ch_dmbase), `DM`, `DMAddField()`, `DMGetField()`, `DMSetNullSpaceConstructor()`, `DMSetNearNullSpaceConstructor()`, `DMGetNearNullSpaceConstructor()`, `DMCreateSubDM()`, `DMCreateSuperDM()`
1844: @*/
1845: PetscErrorCode DMGetNullSpaceConstructor(DM dm, PetscInt field, PetscErrorCode (**nullsp)(DM dm, PetscInt origField, PetscInt field, MatNullSpace *nullSpace))
1846: {
1847: PetscFunctionBegin;
1849: PetscAssertPointer(nullsp, 3);
1850: PetscCheck(field < dm->Nf, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Cannot handle %" PetscInt_FMT " >= %" PetscInt_FMT " fields", field, dm->Nf);
1851: PetscCheck(dm->nullspaceConstructors, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONG, "Must call DMCreateDS() to setup nullspaces");
1852: *nullsp = dm->nullspaceConstructors[field];
1853: PetscFunctionReturn(PETSC_SUCCESS);
1854: }
1856: /*@C
1857: DMSetNearNullSpaceConstructor - Provide a callback function which constructs the near-nullspace for a given field, defined with `DMAddField()`
1859: Logically Collective; No Fortran Support
1861: Input Parameters:
1862: + dm - The `DM`
1863: . field - The field number for the nullspace
1864: - nullsp - A callback to create the near-nullspace
1866: Calling sequence of `nullsp`:
1867: + dm - The present `DM`
1868: . origField - The field number given above, in the original `DM`
1869: . field - The field number in dm
1870: - nullSpace - The nullspace for the given field
1872: Level: intermediate
1874: .seealso: [](ch_dmbase), `DM`, `DMAddField()`, `DMGetNearNullSpaceConstructor()`, `DMSetNullSpaceConstructor()`, `DMGetNullSpaceConstructor()`, `DMCreateSubDM()`, `DMCreateSuperDM()`,
1875: `MatNullSpace`
1876: @*/
1877: PetscErrorCode DMSetNearNullSpaceConstructor(DM dm, PetscInt field, PetscErrorCode (*nullsp)(DM dm, PetscInt origField, PetscInt field, MatNullSpace *nullSpace))
1878: {
1879: PetscFunctionBegin;
1881: PetscCheck(field < dm->Nf, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Cannot handle %" PetscInt_FMT " >= %" PetscInt_FMT " fields", field, dm->Nf);
1882: PetscCheck(dm->nearnullspaceConstructors, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONG, "Must call DMCreateDS() to setup nullspaces");
1883: dm->nearnullspaceConstructors[field] = nullsp;
1884: PetscFunctionReturn(PETSC_SUCCESS);
1885: }
1887: /*@C
1888: DMGetNearNullSpaceConstructor - Return the callback function which constructs the near-nullspace for a given field, defined with `DMAddField()`
1890: Not Collective; No Fortran Support
1892: Input Parameters:
1893: + dm - The `DM`
1894: - field - The field number for the nullspace
1896: Output Parameter:
1897: . nullsp - A callback to create the near-nullspace
1899: Calling sequence of `nullsp`:
1900: + dm - The present `DM`
1901: . origField - The field number given above, in the original `DM`
1902: . field - The field number in dm
1903: - nullSpace - The nullspace for the given field
1905: Level: intermediate
1907: .seealso: [](ch_dmbase), `DM`, `DMAddField()`, `DMGetField()`, `DMSetNearNullSpaceConstructor()`, `DMSetNullSpaceConstructor()`, `DMGetNullSpaceConstructor()`, `DMCreateSubDM()`,
1908: `MatNullSpace`, `DMCreateSuperDM()`
1909: @*/
1910: PetscErrorCode DMGetNearNullSpaceConstructor(DM dm, PetscInt field, PetscErrorCode (**nullsp)(DM dm, PetscInt origField, PetscInt field, MatNullSpace *nullSpace))
1911: {
1912: PetscFunctionBegin;
1914: PetscAssertPointer(nullsp, 3);
1915: PetscCheck(field < dm->Nf, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Cannot handle %" PetscInt_FMT " >= %" PetscInt_FMT " fields", field, dm->Nf);
1916: PetscCheck(dm->nearnullspaceConstructors, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONG, "Must call DMCreateDS() to setup nullspaces");
1917: *nullsp = dm->nearnullspaceConstructors[field];
1918: PetscFunctionReturn(PETSC_SUCCESS);
1919: }
1921: /*@C
1922: DMCreateFieldIS - Creates a set of `IS` objects with the global indices of dofs for each field defined with `DMAddField()`
1924: Not Collective; No Fortran Support
1926: Input Parameter:
1927: . dm - the `DM` object
1929: Output Parameters:
1930: + numFields - The number of fields (or `NULL` if not requested)
1931: . fieldNames - The name of each field (or `NULL` if not requested)
1932: - fields - The global indices for each field (or `NULL` if not requested)
1934: Level: intermediate
1936: Note:
1937: The user is responsible for freeing all requested arrays. In particular, every entry of `fieldNames` should be freed with
1938: `PetscFree()`, every entry of `fields` should be destroyed with `ISDestroy()`, and both arrays should be freed with
1939: `PetscFree()`.
1941: Developer Note:
1942: It is not clear why both this function and `DMCreateFieldDecomposition()` exist. Having two seems redundant and confusing. This function should
1943: likely be removed.
1945: .seealso: [](ch_dmbase), `DM`, `DMAddField()`, `DMGetField()`, `DMDestroy()`, `DMView()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`,
1946: `DMCreateFieldDecomposition()`
1947: @*/
1948: PetscErrorCode DMCreateFieldIS(DM dm, PetscInt *numFields, char ***fieldNames, IS *fields[])
1949: {
1950: PetscSection section, sectionGlobal;
1952: PetscFunctionBegin;
1954: if (numFields) {
1955: PetscAssertPointer(numFields, 2);
1956: *numFields = 0;
1957: }
1958: if (fieldNames) {
1959: PetscAssertPointer(fieldNames, 3);
1960: *fieldNames = NULL;
1961: }
1962: if (fields) {
1963: PetscAssertPointer(fields, 4);
1964: *fields = NULL;
1965: }
1966: PetscCall(DMGetLocalSection(dm, §ion));
1967: if (section) {
1968: PetscInt *fieldSizes, *fieldNc, **fieldIndices;
1969: PetscInt nF, f, pStart, pEnd, p;
1971: PetscCall(DMGetGlobalSection(dm, §ionGlobal));
1972: PetscCall(PetscSectionGetNumFields(section, &nF));
1973: PetscCall(PetscMalloc3(nF, &fieldSizes, nF, &fieldNc, nF, &fieldIndices));
1974: PetscCall(PetscSectionGetChart(sectionGlobal, &pStart, &pEnd));
1975: for (f = 0; f < nF; ++f) {
1976: fieldSizes[f] = 0;
1977: PetscCall(PetscSectionGetFieldComponents(section, f, &fieldNc[f]));
1978: }
1979: for (p = pStart; p < pEnd; ++p) {
1980: PetscInt gdof;
1982: PetscCall(PetscSectionGetDof(sectionGlobal, p, &gdof));
1983: if (gdof > 0) {
1984: for (f = 0; f < nF; ++f) {
1985: PetscInt fdof, fcdof, fpdof;
1987: PetscCall(PetscSectionGetFieldDof(section, p, f, &fdof));
1988: PetscCall(PetscSectionGetFieldConstraintDof(section, p, f, &fcdof));
1989: fpdof = fdof - fcdof;
1990: if (fpdof && fpdof != fieldNc[f]) {
1991: /* Layout does not admit a pointwise block size */
1992: fieldNc[f] = 1;
1993: }
1994: fieldSizes[f] += fpdof;
1995: }
1996: }
1997: }
1998: for (f = 0; f < nF; ++f) {
1999: PetscCall(PetscMalloc1(fieldSizes[f], &fieldIndices[f]));
2000: fieldSizes[f] = 0;
2001: }
2002: for (p = pStart; p < pEnd; ++p) {
2003: PetscInt gdof, goff;
2005: PetscCall(PetscSectionGetDof(sectionGlobal, p, &gdof));
2006: if (gdof > 0) {
2007: PetscCall(PetscSectionGetOffset(sectionGlobal, p, &goff));
2008: for (f = 0; f < nF; ++f) {
2009: PetscInt fdof, fcdof, fc;
2011: PetscCall(PetscSectionGetFieldDof(section, p, f, &fdof));
2012: PetscCall(PetscSectionGetFieldConstraintDof(section, p, f, &fcdof));
2013: for (fc = 0; fc < fdof - fcdof; ++fc, ++fieldSizes[f]) fieldIndices[f][fieldSizes[f]] = goff++;
2014: }
2015: }
2016: }
2017: if (numFields) *numFields = nF;
2018: if (fieldNames) {
2019: PetscCall(PetscMalloc1(nF, fieldNames));
2020: for (f = 0; f < nF; ++f) {
2021: const char *fieldName;
2023: PetscCall(PetscSectionGetFieldName(section, f, &fieldName));
2024: PetscCall(PetscStrallocpy(fieldName, &(*fieldNames)[f]));
2025: }
2026: }
2027: if (fields) {
2028: PetscCall(PetscMalloc1(nF, fields));
2029: for (f = 0; f < nF; ++f) {
2030: PetscInt bs, in[2], out[2];
2032: PetscCall(ISCreateGeneral(PetscObjectComm((PetscObject)dm), fieldSizes[f], fieldIndices[f], PETSC_OWN_POINTER, &(*fields)[f]));
2033: in[0] = -fieldNc[f];
2034: in[1] = fieldNc[f];
2035: PetscCallMPI(MPIU_Allreduce(in, out, 2, MPIU_INT, MPI_MAX, PetscObjectComm((PetscObject)dm)));
2036: bs = (-out[0] == out[1]) ? out[1] : 1;
2037: PetscCall(ISSetBlockSize((*fields)[f], bs));
2038: }
2039: }
2040: PetscCall(PetscFree3(fieldSizes, fieldNc, fieldIndices));
2041: } else PetscTryTypeMethod(dm, createfieldis, numFields, fieldNames, fields);
2042: PetscFunctionReturn(PETSC_SUCCESS);
2043: }
2045: /*@C
2046: DMCreateFieldDecomposition - Returns a list of `IS` objects defining a decomposition of a problem into subproblems
2047: corresponding to different fields.
2049: Not Collective; No Fortran Support
2051: Input Parameter:
2052: . dm - the `DM` object
2054: Output Parameters:
2055: + len - The number of fields (or `NULL` if not requested)
2056: . namelist - The name for each field (or `NULL` if not requested)
2057: . islist - The global indices for each field (or `NULL` if not requested)
2058: - dmlist - The `DM`s for each field subproblem (or `NULL`, if not requested; if `NULL` is returned, no `DM`s are defined)
2060: Level: intermediate
2062: Notes:
2063: Each `IS` contains the global indices of the dofs of the corresponding field, defined by
2064: `DMAddField()`. The optional list of `DM`s define the `DM` for each subproblem.
2066: The same as `DMCreateFieldIS()` but also returns a `DM` for each field.
2068: The user is responsible for freeing all requested arrays. In particular, every entry of `namelist` should be freed with
2069: `PetscFree()`, every entry of `islist` should be destroyed with `ISDestroy()`, every entry of `dmlist` should be destroyed with `DMDestroy()`,
2070: and all of the arrays should be freed with `PetscFree()`.
2072: Fortran Notes:
2073: Use the declarations
2074: .vb
2075: character(80), pointer :: namelist(:)
2076: IS, pointer :: islist(:)
2077: DM, pointer :: dmlist(:)
2078: .ve
2080: `namelist` must be provided, `islist` may be `PETSC_NULL_IS_POINTER` and `dmlist` may be `PETSC_NULL_DM_POINTER`
2082: Use `DMDestroyFieldDecomposition()` to free the returned objects
2084: Developer Notes:
2085: It is not clear why this function and `DMCreateFieldIS()` exist. Having two seems redundant and confusing.
2087: Unlike `DMRefine()`, `DMCoarsen()`, and `DMCreateDomainDecomposition()` this provides no mechanism to provide hooks that are called after the
2088: decomposition is computed.
2090: .seealso: [](ch_dmbase), `DM`, `DMAddField()`, `DMCreateFieldIS()`, `DMCreateSubDM()`, `DMCreateDomainDecomposition()`, `DMDestroy()`, `DMView()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMRefine()`, `DMCoarsen()`
2091: @*/
2092: PetscErrorCode DMCreateFieldDecomposition(DM dm, PetscInt *len, char ***namelist, IS *islist[], DM *dmlist[])
2093: {
2094: PetscFunctionBegin;
2096: if (len) {
2097: PetscAssertPointer(len, 2);
2098: *len = 0;
2099: }
2100: if (namelist) {
2101: PetscAssertPointer(namelist, 3);
2102: *namelist = NULL;
2103: }
2104: if (islist) {
2105: PetscAssertPointer(islist, 4);
2106: *islist = NULL;
2107: }
2108: if (dmlist) {
2109: PetscAssertPointer(dmlist, 5);
2110: *dmlist = NULL;
2111: }
2112: /*
2113: Is it a good idea to apply the following check across all impls?
2114: Perhaps some impls can have a well-defined decomposition before DMSetUp?
2115: This, however, follows the general principle that accessors are not well-behaved until the object is set up.
2116: */
2117: PetscCheck(dm->setupcalled, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONGSTATE, "Decomposition defined only after DMSetUp");
2118: if (!dm->ops->createfielddecomposition) {
2119: PetscSection section;
2120: PetscInt numFields, f;
2122: PetscCall(DMGetLocalSection(dm, §ion));
2123: if (section) PetscCall(PetscSectionGetNumFields(section, &numFields));
2124: if (section && numFields && dm->ops->createsubdm) {
2125: if (len) *len = numFields;
2126: if (namelist) PetscCall(PetscMalloc1(numFields, namelist));
2127: if (islist) PetscCall(PetscMalloc1(numFields, islist));
2128: if (dmlist) PetscCall(PetscMalloc1(numFields, dmlist));
2129: for (f = 0; f < numFields; ++f) {
2130: const char *fieldName;
2132: PetscCall(DMCreateSubDM(dm, 1, &f, islist ? &(*islist)[f] : NULL, dmlist ? &(*dmlist)[f] : NULL));
2133: if (namelist) {
2134: PetscCall(PetscSectionGetFieldName(section, f, &fieldName));
2135: PetscCall(PetscStrallocpy(fieldName, &(*namelist)[f]));
2136: }
2137: }
2138: } else {
2139: PetscCall(DMCreateFieldIS(dm, len, namelist, islist));
2140: /* By default there are no DMs associated with subproblems. */
2141: if (dmlist) *dmlist = NULL;
2142: }
2143: } else PetscUseTypeMethod(dm, createfielddecomposition, len, namelist, islist, dmlist);
2144: PetscFunctionReturn(PETSC_SUCCESS);
2145: }
2147: /*@
2148: DMCreateSubDM - Returns an `IS` and `DM` encapsulating a subproblem defined by the fields passed in.
2149: The fields are defined by `DMCreateFieldIS()`.
2151: Not collective
2153: Input Parameters:
2154: + dm - The `DM` object
2155: . numFields - The number of fields to select
2156: - fields - The field numbers of the selected fields
2158: Output Parameters:
2159: + is - The global indices for all the degrees of freedom in the new sub `DM`, use `NULL` if not needed
2160: - subdm - The `DM` for the subproblem, use `NULL` if not needed
2162: Level: intermediate
2164: Note:
2165: You need to call `DMPlexSetMigrationSF()` on the original `DM` if you want the Global-To-Natural map to be automatically constructed
2167: .seealso: [](ch_dmbase), `DM`, `DMCreateFieldIS()`, `DMCreateFieldDecomposition()`, `DMAddField()`, `DMCreateSuperDM()`, `IS`, `VecISCopy()`, `DMPlexSetMigrationSF()`, `DMDestroy()`, `DMView()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`
2168: @*/
2169: PetscErrorCode DMCreateSubDM(DM dm, PetscInt numFields, const PetscInt fields[], IS *is, DM *subdm)
2170: {
2171: PetscFunctionBegin;
2173: PetscAssertPointer(fields, 3);
2174: if (is) PetscAssertPointer(is, 4);
2175: if (subdm) PetscAssertPointer(subdm, 5);
2176: PetscUseTypeMethod(dm, createsubdm, numFields, fields, is, subdm);
2177: PetscFunctionReturn(PETSC_SUCCESS);
2178: }
2180: /*@C
2181: DMCreateSuperDM - Returns an arrays of `IS` and a single `DM` encapsulating a superproblem defined by multiple `DM`s passed in.
2183: Not collective
2185: Input Parameters:
2186: + dms - The `DM` objects
2187: - n - The number of `DM`s
2189: Output Parameters:
2190: + is - The global indices for each of subproblem within the super `DM`, or `NULL`, its length is `n`
2191: - superdm - The `DM` for the superproblem
2193: Level: intermediate
2195: Note:
2196: You need to call `DMPlexSetMigrationSF()` on the original `DM` if you want the Global-To-Natural map to be automatically constructed
2198: .seealso: [](ch_dmbase), `DM`, `DMCreateSubDM()`, `DMPlexSetMigrationSF()`, `DMDestroy()`, `DMView()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMCreateFieldIS()`, `DMCreateDomainDecomposition()`
2199: @*/
2200: PetscErrorCode DMCreateSuperDM(DM dms[], PetscInt n, IS *is[], DM *superdm)
2201: {
2202: PetscInt i;
2204: PetscFunctionBegin;
2205: PetscAssertPointer(dms, 1);
2207: if (is) PetscAssertPointer(is, 3);
2208: PetscAssertPointer(superdm, 4);
2209: PetscCheck(n >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Number of DMs must be nonnegative: %" PetscInt_FMT, n);
2210: if (n) {
2211: DM dm = dms[0];
2212: PetscCheck(dm->ops->createsuperdm, PetscObjectComm((PetscObject)dm), PETSC_ERR_SUP, "No method createsuperdm for DM of type %s", ((PetscObject)dm)->type_name);
2213: PetscCall((*dm->ops->createsuperdm)(dms, n, is, superdm));
2214: }
2215: PetscFunctionReturn(PETSC_SUCCESS);
2216: }
2218: /*@C
2219: DMCreateDomainDecomposition - Returns lists of `IS` objects defining a decomposition of a
2220: problem into subproblems corresponding to restrictions to pairs of nested subdomains.
2222: Not Collective
2224: Input Parameter:
2225: . dm - the `DM` object
2227: Output Parameters:
2228: + n - The number of subproblems in the domain decomposition (or `NULL` if not requested), also the length of the four arrays below
2229: . namelist - The name for each subdomain (or `NULL` if not requested)
2230: . innerislist - The global indices for each inner subdomain (or `NULL`, if not requested)
2231: . outerislist - The global indices for each outer subdomain (or `NULL`, if not requested)
2232: - dmlist - The `DM`s for each subdomain subproblem (or `NULL`, if not requested; if `NULL` is returned, no `DM`s are defined)
2234: Level: intermediate
2236: Notes:
2237: Each `IS` contains the global indices of the dofs of the corresponding subdomains with in the
2238: dofs of the original `DM`. The inner subdomains conceptually define a nonoverlapping
2239: covering, while outer subdomains can overlap.
2241: The optional list of `DM`s define a `DM` for each subproblem.
2243: The user is responsible for freeing all requested arrays. In particular, every entry of `namelist` should be freed with
2244: `PetscFree()`, every entry of `innerislist` and `outerislist` should be destroyed with `ISDestroy()`, every entry of `dmlist` should be destroyed with `DMDestroy()`,
2245: and all of the arrays should be freed with `PetscFree()`.
2247: Developer Notes:
2248: The `dmlist` is for the inner subdomains or the outer subdomains or all subdomains?
2250: The names are inconsistent, the hooks use `DMSubDomainHook` which is nothing like `DMCreateDomainDecomposition()` while `DMRefineHook` is used for `DMRefine()`.
2252: .seealso: [](ch_dmbase), `DM`, `DMCreateFieldDecomposition()`, `DMDestroy()`, `DMCreateDomainDecompositionScatters()`, `DMView()`, `DMCreateInterpolation()`,
2253: `DMSubDomainHookAdd()`, `DMSubDomainHookRemove()`,`DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMRefine()`, `DMCoarsen()`
2254: @*/
2255: PetscErrorCode DMCreateDomainDecomposition(DM dm, PetscInt *n, char **namelist[], IS *innerislist[], IS *outerislist[], DM *dmlist[])
2256: {
2257: DMSubDomainHookLink link;
2258: PetscInt i, l;
2260: PetscFunctionBegin;
2262: if (n) {
2263: PetscAssertPointer(n, 2);
2264: *n = 0;
2265: }
2266: if (namelist) {
2267: PetscAssertPointer(namelist, 3);
2268: *namelist = NULL;
2269: }
2270: if (innerislist) {
2271: PetscAssertPointer(innerislist, 4);
2272: *innerislist = NULL;
2273: }
2274: if (outerislist) {
2275: PetscAssertPointer(outerislist, 5);
2276: *outerislist = NULL;
2277: }
2278: if (dmlist) {
2279: PetscAssertPointer(dmlist, 6);
2280: *dmlist = NULL;
2281: }
2282: /*
2283: Is it a good idea to apply the following check across all impls?
2284: Perhaps some impls can have a well-defined decomposition before DMSetUp?
2285: This, however, follows the general principle that accessors are not well-behaved until the object is set up.
2286: */
2287: PetscCheck(dm->setupcalled, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONGSTATE, "Decomposition defined only after DMSetUp");
2288: if (dm->ops->createdomaindecomposition) {
2289: PetscUseTypeMethod(dm, createdomaindecomposition, &l, namelist, innerislist, outerislist, dmlist);
2290: /* copy subdomain hooks and context over to the subdomain DMs */
2291: if (dmlist && *dmlist) {
2292: for (i = 0; i < l; i++) {
2293: for (link = dm->subdomainhook; link; link = link->next) {
2294: if (link->ddhook) PetscCall((*link->ddhook)(dm, (*dmlist)[i], link->ctx));
2295: }
2296: if (dm->ctx) (*dmlist)[i]->ctx = dm->ctx;
2297: }
2298: }
2299: if (n) *n = l;
2300: }
2301: PetscFunctionReturn(PETSC_SUCCESS);
2302: }
2304: /*@C
2305: DMCreateDomainDecompositionScatters - Returns scatters to the subdomain vectors from the global vector for subdomains created with
2306: `DMCreateDomainDecomposition()`
2308: Not Collective
2310: Input Parameters:
2311: + dm - the `DM` object
2312: . n - the number of subdomains
2313: - subdms - the local subdomains
2315: Output Parameters:
2316: + iscat - scatter from global vector to nonoverlapping global vector entries on subdomain
2317: . oscat - scatter from global vector to overlapping global vector entries on subdomain
2318: - gscat - scatter from global vector to local vector on subdomain (fills in ghosts)
2320: Level: developer
2322: Note:
2323: This is an alternative to the `iis` and `ois` arguments in `DMCreateDomainDecomposition()` that allow for the solution
2324: of general nonlinear problems with overlapping subdomain methods. While merely having index sets that enable subsets
2325: of the residual equations to be created is fine for linear problems, nonlinear problems require local assembly of
2326: solution and residual data.
2328: Developer Note:
2329: Can the `subdms` input be anything or are they exactly the `DM` obtained from
2330: `DMCreateDomainDecomposition()`?
2332: .seealso: [](ch_dmbase), `DM`, `DMCreateDomainDecomposition()`, `DMDestroy()`, `DMView()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMCreateFieldIS()`
2333: @*/
2334: PetscErrorCode DMCreateDomainDecompositionScatters(DM dm, PetscInt n, DM subdms[], VecScatter *iscat[], VecScatter *oscat[], VecScatter *gscat[])
2335: {
2336: PetscFunctionBegin;
2338: PetscAssertPointer(subdms, 3);
2339: PetscUseTypeMethod(dm, createddscatters, n, subdms, iscat, oscat, gscat);
2340: PetscFunctionReturn(PETSC_SUCCESS);
2341: }
2343: /*@
2344: DMRefine - Refines a `DM` object using a standard nonadaptive refinement of the underlying mesh
2346: Collective
2348: Input Parameters:
2349: + dm - the `DM` object
2350: - comm - the communicator to contain the new `DM` object (or `MPI_COMM_NULL`)
2352: Output Parameter:
2353: . dmf - the refined `DM`, or `NULL`
2355: Options Database Key:
2356: . -dm_plex_cell_refiner <strategy> - chooses the refinement strategy, e.g. regular, tohex
2358: Level: developer
2360: Note:
2361: If no refinement was done, the return value is `NULL`
2363: .seealso: [](ch_dmbase), `DM`, `DMCoarsen()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateDomainDecomposition()`,
2364: `DMRefineHookAdd()`, `DMRefineHookRemove()`
2365: @*/
2366: PetscErrorCode DMRefine(DM dm, MPI_Comm comm, DM *dmf)
2367: {
2368: DMRefineHookLink link;
2370: PetscFunctionBegin;
2372: PetscCall(PetscLogEventBegin(DM_Refine, dm, 0, 0, 0));
2373: PetscUseTypeMethod(dm, refine, comm, dmf);
2374: if (*dmf) {
2375: (*dmf)->ops->creatematrix = dm->ops->creatematrix;
2377: PetscCall(PetscObjectCopyFortranFunctionPointers((PetscObject)dm, (PetscObject)*dmf));
2379: (*dmf)->ctx = dm->ctx;
2380: (*dmf)->leveldown = dm->leveldown;
2381: (*dmf)->levelup = dm->levelup + 1;
2383: PetscCall(DMSetMatType(*dmf, dm->mattype));
2384: for (link = dm->refinehook; link; link = link->next) {
2385: if (link->refinehook) PetscCall((*link->refinehook)(dm, *dmf, link->ctx));
2386: }
2387: }
2388: PetscCall(PetscLogEventEnd(DM_Refine, dm, 0, 0, 0));
2389: PetscFunctionReturn(PETSC_SUCCESS);
2390: }
2392: /*@C
2393: DMRefineHookAdd - adds a callback to be run when interpolating a nonlinear problem to a finer grid
2395: Logically Collective; No Fortran Support
2397: Input Parameters:
2398: + coarse - `DM` on which to run a hook when interpolating to a finer level
2399: . refinehook - function to run when setting up the finer level
2400: . interphook - function to run to update data on finer levels (once per `SNESSolve()`)
2401: - ctx - [optional] context for provide data for the hooks (may be `NULL`)
2403: Calling sequence of `refinehook`:
2404: + coarse - coarse level `DM`
2405: . fine - fine level `DM` to interpolate problem to
2406: - ctx - optional function context
2408: Calling sequence of `interphook`:
2409: + coarse - coarse level `DM`
2410: . interp - matrix interpolating a coarse-level solution to the finer grid
2411: . fine - fine level `DM` to update
2412: - ctx - optional function context
2414: Level: advanced
2416: Notes:
2417: This function is only needed if auxiliary data that is attached to the `DM`s via, for example, `PetscObjectCompose()`, needs to be
2418: passed to fine grids while grid sequencing.
2420: The actual interpolation is done when `DMInterpolate()` is called.
2422: If this function is called multiple times, the hooks will be run in the order they are added.
2424: .seealso: [](ch_dmbase), `DM`, `DMCoarsenHookAdd()`, `DMInterpolate()`, `SNESFASGetInterpolation()`, `SNESFASGetInjection()`, `PetscObjectCompose()`, `PetscContainerCreate()`
2425: @*/
2426: PetscErrorCode DMRefineHookAdd(DM coarse, PetscErrorCode (*refinehook)(DM coarse, DM fine, PetscCtx ctx), PetscErrorCode (*interphook)(DM coarse, Mat interp, DM fine, PetscCtx ctx), PetscCtx ctx)
2427: {
2428: DMRefineHookLink link, *p;
2430: PetscFunctionBegin;
2432: for (p = &coarse->refinehook; *p; p = &(*p)->next) { /* Scan to the end of the current list of hooks */
2433: if ((*p)->refinehook == refinehook && (*p)->interphook == interphook && (*p)->ctx == ctx) PetscFunctionReturn(PETSC_SUCCESS);
2434: }
2435: PetscCall(PetscNew(&link));
2436: link->refinehook = refinehook;
2437: link->interphook = interphook;
2438: link->ctx = ctx;
2439: link->next = NULL;
2440: *p = link;
2441: PetscFunctionReturn(PETSC_SUCCESS);
2442: }
2444: /*@C
2445: DMRefineHookRemove - remove a callback from the list of hooks, that have been set with `DMRefineHookAdd()`, to be run when interpolating
2446: a nonlinear problem to a finer grid
2448: Logically Collective; No Fortran Support
2450: Input Parameters:
2451: + coarse - the `DM` on which to run a hook when restricting to a coarser level
2452: . refinehook - function to run when setting up a finer level
2453: . interphook - function to run to update data on finer levels
2454: - ctx - [optional] application context for provide data for the hooks (may be `NULL`)
2456: Calling sequence of refinehook:
2457: + coarse - the coarse `DM`
2458: . fine - the fine `DM`
2459: - ctx - context for the function
2461: Calling sequence of interphook:
2462: + coarse - the coarse `DM`
2463: . interp - the interpolation `Mat` from coarse to fine
2464: . fine - the fine `DM`
2465: - ctx - context for the function
2467: Level: advanced
2469: Note:
2470: This function does nothing if the hook is not in the list.
2472: .seealso: [](ch_dmbase), `DM`, `DMRefineHookAdd()`, `DMCoarsenHookRemove()`, `DMInterpolate()`, `SNESFASGetInterpolation()`, `SNESFASGetInjection()`, `PetscObjectCompose()`, `PetscContainerCreate()`
2473: @*/
2474: PetscErrorCode DMRefineHookRemove(DM coarse, PetscErrorCode (*refinehook)(DM coarse, DM fine, PetscCtx ctx), PetscErrorCode (*interphook)(DM coarse, Mat interp, DM fine, PetscCtx ctx), PetscCtx ctx)
2475: {
2476: DMRefineHookLink link, *p;
2478: PetscFunctionBegin;
2480: for (p = &coarse->refinehook; *p; p = &(*p)->next) { /* Search the list of current hooks */
2481: if ((*p)->refinehook == refinehook && (*p)->interphook == interphook && (*p)->ctx == ctx) {
2482: link = *p;
2483: *p = link->next;
2484: PetscCall(PetscFree(link));
2485: break;
2486: }
2487: }
2488: PetscFunctionReturn(PETSC_SUCCESS);
2489: }
2491: /*@
2492: DMInterpolate - interpolates user-defined problem data attached to a `DM` to a finer `DM` by running hooks registered by `DMRefineHookAdd()`
2494: Collective if any hooks are
2496: Input Parameters:
2497: + coarse - coarser `DM` to use as a base
2498: . interp - interpolation matrix, apply using `MatInterpolate()`
2499: - fine - finer `DM` to update
2501: Level: developer
2503: Developer Note:
2504: This routine is called `DMInterpolate()` while the hook is called `DMRefineHookAdd()`. It would be better to have an
2505: an API with consistent terminology.
2507: .seealso: [](ch_dmbase), `DM`, `DMRefineHookAdd()`, `MatInterpolate()`
2508: @*/
2509: PetscErrorCode DMInterpolate(DM coarse, Mat interp, DM fine)
2510: {
2511: DMRefineHookLink link;
2513: PetscFunctionBegin;
2514: for (link = fine->refinehook; link; link = link->next) {
2515: if (link->interphook) PetscCall((*link->interphook)(coarse, interp, fine, link->ctx));
2516: }
2517: PetscFunctionReturn(PETSC_SUCCESS);
2518: }
2520: /*@
2521: DMInterpolateSolution - Interpolates a solution from a coarse mesh to a fine mesh.
2523: Collective
2525: Input Parameters:
2526: + coarse - coarse `DM`
2527: . fine - fine `DM`
2528: . interp - (optional) the matrix computed by `DMCreateInterpolation()`. Implementations may not need this, but if it
2529: is available it can avoid some recomputation. If it is provided, `MatInterpolate()` will be used if
2530: the coarse `DM` does not have a specialized implementation.
2531: - coarseSol - solution on the coarse mesh
2533: Output Parameter:
2534: . fineSol - the interpolation of coarseSol to the fine mesh
2536: Level: developer
2538: Note:
2539: This function exists because the interpolation of a solution vector between meshes is not always a linear
2540: map. For example, if a boundary value problem has an inhomogeneous Dirichlet boundary condition that is compressed
2541: out of the solution vector. Or if interpolation is inherently a nonlinear operation, such as a method using
2542: slope-limiting reconstruction.
2544: Developer Note:
2545: This doesn't just interpolate "solutions" so its API name is questionable.
2547: .seealso: [](ch_dmbase), `DM`, `DMInterpolate()`, `DMCreateInterpolation()`
2548: @*/
2549: PetscErrorCode DMInterpolateSolution(DM coarse, DM fine, Mat interp, Vec coarseSol, Vec fineSol)
2550: {
2551: PetscErrorCode (*interpsol)(DM, DM, Mat, Vec, Vec) = NULL;
2553: PetscFunctionBegin;
2559: PetscCall(PetscObjectQueryFunction((PetscObject)coarse, "DMInterpolateSolution_C", &interpsol));
2560: if (interpsol) {
2561: PetscCall((*interpsol)(coarse, fine, interp, coarseSol, fineSol));
2562: } else if (interp) {
2563: PetscCall(MatInterpolate(interp, coarseSol, fineSol));
2564: } else SETERRQ(PetscObjectComm((PetscObject)coarse), PETSC_ERR_SUP, "DM %s does not implement DMInterpolateSolution()", ((PetscObject)coarse)->type_name);
2565: PetscFunctionReturn(PETSC_SUCCESS);
2566: }
2568: /*@
2569: DMGetRefineLevel - Gets the number of refinements that have generated this `DM` from some initial `DM`.
2571: Not Collective
2573: Input Parameter:
2574: . dm - the `DM` object
2576: Output Parameter:
2577: . level - number of refinements
2579: Level: developer
2581: Note:
2582: This can be used, by example, to set the number of coarser levels associated with this `DM` for a multigrid solver.
2584: .seealso: [](ch_dmbase), `DM`, `DMRefine()`, `DMCoarsen()`, `DMGetCoarsenLevel()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`
2585: @*/
2586: PetscErrorCode DMGetRefineLevel(DM dm, PetscInt *level)
2587: {
2588: PetscFunctionBegin;
2590: *level = dm->levelup;
2591: PetscFunctionReturn(PETSC_SUCCESS);
2592: }
2594: /*@
2595: DMSetRefineLevel - Sets the number of refinements that have generated this `DM`.
2597: Not Collective
2599: Input Parameters:
2600: + dm - the `DM` object
2601: - level - number of refinements
2603: Level: advanced
2605: Notes:
2606: This value is used by `PCMG` to determine how many multigrid levels to use
2608: The values are usually set automatically by the process that is causing the refinements of an initial `DM` by calling this routine.
2610: .seealso: [](ch_dmbase), `DM`, `DMGetRefineLevel()`, `DMCoarsen()`, `DMGetCoarsenLevel()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`
2611: @*/
2612: PetscErrorCode DMSetRefineLevel(DM dm, PetscInt level)
2613: {
2614: PetscFunctionBegin;
2616: dm->levelup = level;
2617: PetscFunctionReturn(PETSC_SUCCESS);
2618: }
2620: /*@
2621: DMExtrude - Extrude a `DM` object from a surface
2623: Collective
2625: Input Parameters:
2626: + dm - the `DM` object
2627: - layers - the number of extruded cell layers
2629: Output Parameter:
2630: . dme - the extruded `DM`, or `NULL`
2632: Level: developer
2634: Note:
2635: If no extrusion was done, the return value is `NULL`
2637: .seealso: [](ch_dmbase), `DM`, `DMRefine()`, `DMCoarsen()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`
2638: @*/
2639: PetscErrorCode DMExtrude(DM dm, PetscInt layers, DM *dme)
2640: {
2641: PetscFunctionBegin;
2643: PetscUseTypeMethod(dm, extrude, layers, dme);
2644: if (*dme) {
2645: (*dme)->ops->creatematrix = dm->ops->creatematrix;
2646: PetscCall(PetscObjectCopyFortranFunctionPointers((PetscObject)dm, (PetscObject)*dme));
2647: (*dme)->ctx = dm->ctx;
2648: PetscCall(DMSetMatType(*dme, dm->mattype));
2649: }
2650: PetscFunctionReturn(PETSC_SUCCESS);
2651: }
2653: PetscErrorCode DMGetBasisTransformDM_Internal(DM dm, DM *tdm)
2654: {
2655: PetscFunctionBegin;
2657: PetscAssertPointer(tdm, 2);
2658: *tdm = dm->transformDM;
2659: PetscFunctionReturn(PETSC_SUCCESS);
2660: }
2662: PetscErrorCode DMGetBasisTransformVec_Internal(DM dm, Vec *tv)
2663: {
2664: PetscFunctionBegin;
2666: PetscAssertPointer(tv, 2);
2667: *tv = dm->transform;
2668: PetscFunctionReturn(PETSC_SUCCESS);
2669: }
2671: /*@
2672: DMHasBasisTransform - Whether the `DM` employs a basis transformation from functions in global vectors to functions in local vectors
2674: Input Parameter:
2675: . dm - The `DM`
2677: Output Parameter:
2678: . flg - `PETSC_TRUE` if a basis transformation should be done
2680: Level: developer
2682: .seealso: [](ch_dmbase), `DM`, `DMPlexGlobalToLocalBasis()`, `DMPlexLocalToGlobalBasis()`, `DMPlexCreateBasisRotation()`
2683: @*/
2684: PetscErrorCode DMHasBasisTransform(DM dm, PetscBool *flg)
2685: {
2686: Vec tv;
2688: PetscFunctionBegin;
2690: PetscAssertPointer(flg, 2);
2691: PetscCall(DMGetBasisTransformVec_Internal(dm, &tv));
2692: *flg = tv ? PETSC_TRUE : PETSC_FALSE;
2693: PetscFunctionReturn(PETSC_SUCCESS);
2694: }
2696: PetscErrorCode DMConstructBasisTransform_Internal(DM dm)
2697: {
2698: PetscSection s, ts;
2699: PetscScalar *ta;
2700: PetscInt cdim, pStart, pEnd, p, Nf, f, Nc, dof;
2702: PetscFunctionBegin;
2703: PetscCall(DMGetCoordinateDim(dm, &cdim));
2704: PetscCall(DMGetLocalSection(dm, &s));
2705: PetscCall(PetscSectionGetChart(s, &pStart, &pEnd));
2706: PetscCall(PetscSectionGetNumFields(s, &Nf));
2707: PetscCall(DMClone(dm, &dm->transformDM));
2708: PetscCall(DMGetLocalSection(dm->transformDM, &ts));
2709: PetscCall(PetscSectionSetNumFields(ts, Nf));
2710: PetscCall(PetscSectionSetChart(ts, pStart, pEnd));
2711: for (f = 0; f < Nf; ++f) {
2712: PetscCall(PetscSectionGetFieldComponents(s, f, &Nc));
2713: /* We could start to label fields by their transformation properties */
2714: if (Nc != cdim) continue;
2715: for (p = pStart; p < pEnd; ++p) {
2716: PetscCall(PetscSectionGetFieldDof(s, p, f, &dof));
2717: if (!dof) continue;
2718: PetscCall(PetscSectionSetFieldDof(ts, p, f, PetscSqr(cdim)));
2719: PetscCall(PetscSectionAddDof(ts, p, PetscSqr(cdim)));
2720: }
2721: }
2722: PetscCall(PetscSectionSetUp(ts));
2723: PetscCall(DMCreateLocalVector(dm->transformDM, &dm->transform));
2724: PetscCall(VecGetArray(dm->transform, &ta));
2725: for (p = pStart; p < pEnd; ++p) {
2726: for (f = 0; f < Nf; ++f) {
2727: PetscCall(PetscSectionGetFieldDof(ts, p, f, &dof));
2728: if (dof) {
2729: PetscReal x[3] = {0.0, 0.0, 0.0};
2730: PetscScalar *tva;
2731: const PetscScalar *A;
2733: /* TODO Get quadrature point for this dual basis vector for coordinate */
2734: PetscCall((*dm->transformGetMatrix)(dm, x, PETSC_TRUE, &A, dm->transformCtx));
2735: PetscCall(DMPlexPointLocalFieldRef(dm->transformDM, p, f, ta, (void *)&tva));
2736: PetscCall(PetscArraycpy(tva, A, PetscSqr(cdim)));
2737: }
2738: }
2739: }
2740: PetscCall(VecRestoreArray(dm->transform, &ta));
2741: PetscFunctionReturn(PETSC_SUCCESS);
2742: }
2744: PetscErrorCode DMCopyTransform(DM dm, DM newdm)
2745: {
2746: PetscFunctionBegin;
2749: newdm->transformCtx = dm->transformCtx;
2750: newdm->transformSetUp = dm->transformSetUp;
2751: newdm->transformDestroy = NULL;
2752: newdm->transformGetMatrix = dm->transformGetMatrix;
2753: if (newdm->transformSetUp) PetscCall(DMConstructBasisTransform_Internal(newdm));
2754: PetscFunctionReturn(PETSC_SUCCESS);
2755: }
2757: /*@C
2758: DMGlobalToLocalHookAdd - adds a callback to be run when `DMGlobalToLocal()` is called
2760: Logically Collective
2762: Input Parameters:
2763: + dm - the `DM`
2764: . beginhook - function to run at the beginning of `DMGlobalToLocalBegin()`
2765: . endhook - function to run after `DMGlobalToLocalEnd()` has completed
2766: - ctx - [optional] context for provide data for the hooks (may be `NULL`)
2768: Calling sequence of `beginhook`:
2769: + dm - global `DM`
2770: . g - global vector
2771: . mode - mode
2772: . l - local vector
2773: - ctx - optional function context
2775: Calling sequence of `endhook`:
2776: + dm - global `DM`
2777: . g - global vector
2778: . mode - mode
2779: . l - local vector
2780: - ctx - optional function context
2782: Level: advanced
2784: Note:
2785: The hook may be used to provide, for example, values that represent boundary conditions in the local vectors that do not exist on the global vector.
2787: .seealso: [](ch_dmbase), `DM`, `DMGlobalToLocal()`, `DMRefineHookAdd()`, `SNESFASGetInterpolation()`, `SNESFASGetInjection()`, `PetscObjectCompose()`, `PetscContainerCreate()`
2788: @*/
2789: PetscErrorCode DMGlobalToLocalHookAdd(DM dm, PetscErrorCode (*beginhook)(DM dm, Vec g, InsertMode mode, Vec l, PetscCtx ctx), PetscErrorCode (*endhook)(DM dm, Vec g, InsertMode mode, Vec l, PetscCtx ctx), PetscCtx ctx)
2790: {
2791: DMGlobalToLocalHookLink link, *p;
2793: PetscFunctionBegin;
2795: for (p = &dm->gtolhook; *p; p = &(*p)->next) { } /* Scan to the end of the current list of hooks */
2796: PetscCall(PetscNew(&link));
2797: link->beginhook = beginhook;
2798: link->endhook = endhook;
2799: link->ctx = ctx;
2800: link->next = NULL;
2801: *p = link;
2802: PetscFunctionReturn(PETSC_SUCCESS);
2803: }
2805: static PetscErrorCode DMGlobalToLocalHook_Constraints(DM dm, Vec g, InsertMode mode, Vec l, PetscCtx ctx)
2806: {
2807: Mat cMat;
2808: Vec cVec, cBias;
2809: PetscSection section, cSec;
2810: PetscInt pStart, pEnd, p, dof;
2812: PetscFunctionBegin;
2813: (void)g;
2814: (void)ctx;
2816: PetscCall(DMGetDefaultConstraints(dm, &cSec, &cMat, &cBias));
2817: if (cMat && (mode == INSERT_VALUES || mode == INSERT_ALL_VALUES || mode == INSERT_BC_VALUES)) {
2818: PetscInt nRows;
2820: PetscCall(MatGetSize(cMat, &nRows, NULL));
2821: if (nRows <= 0) PetscFunctionReturn(PETSC_SUCCESS);
2822: PetscCall(DMGetLocalSection(dm, §ion));
2823: PetscCall(MatCreateVecs(cMat, NULL, &cVec));
2824: PetscCall(MatMult(cMat, l, cVec));
2825: if (cBias) PetscCall(VecAXPY(cVec, 1., cBias));
2826: PetscCall(PetscSectionGetChart(cSec, &pStart, &pEnd));
2827: for (p = pStart; p < pEnd; p++) {
2828: PetscCall(PetscSectionGetDof(cSec, p, &dof));
2829: if (dof) {
2830: PetscScalar *vals;
2831: PetscCall(VecGetValuesSection(cVec, cSec, p, &vals));
2832: PetscCall(VecSetValuesSection(l, section, p, vals, INSERT_ALL_VALUES));
2833: }
2834: }
2835: PetscCall(VecDestroy(&cVec));
2836: }
2837: PetscFunctionReturn(PETSC_SUCCESS);
2838: }
2840: /*@
2841: DMGlobalToLocal - update local vectors from global vector
2843: Neighbor-wise Collective
2845: Input Parameters:
2846: + dm - the `DM` object
2847: . g - the global vector
2848: . mode - `INSERT_VALUES` or `ADD_VALUES`
2849: - l - the local vector
2851: Level: beginner
2853: Notes:
2854: The communication involved in this update can be overlapped with computation by instead using
2855: `DMGlobalToLocalBegin()` and `DMGlobalToLocalEnd()`.
2857: `DMGlobalToLocalHookAdd()` may be used to provide additional operations that are performed during the update process.
2859: .seealso: [](ch_dmbase), `DM`, `DMGlobalToLocalHookAdd()`, `DMCoarsen()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`,
2860: `DMGlobalToLocalEnd()`, `DMLocalToGlobalBegin()`, `DMLocalToGlobal()`, `DMLocalToGlobalEnd()`,
2861: `DMGlobalToLocalBegin()` `DMGlobalToLocalEnd()`
2862: @*/
2863: PetscErrorCode DMGlobalToLocal(DM dm, Vec g, InsertMode mode, Vec l)
2864: {
2865: PetscFunctionBegin;
2866: PetscCall(DMGlobalToLocalBegin(dm, g, mode, l));
2867: PetscCall(DMGlobalToLocalEnd(dm, g, mode, l));
2868: PetscFunctionReturn(PETSC_SUCCESS);
2869: }
2871: /*@
2872: DMGlobalToLocalBegin - Begins updating local vectors from global vector
2874: Neighbor-wise Collective
2876: Input Parameters:
2877: + dm - the `DM` object
2878: . g - the global vector
2879: . mode - `INSERT_VALUES` or `ADD_VALUES`
2880: - l - the local vector
2882: Level: intermediate
2884: Notes:
2885: The operation is completed with `DMGlobalToLocalEnd()`
2887: One can perform local computations between the `DMGlobalToLocalBegin()` and `DMGlobalToLocalEnd()` to overlap communication and computation
2889: `DMGlobalToLocal()` is a short form of `DMGlobalToLocalBegin()` and `DMGlobalToLocalEnd()`
2891: `DMGlobalToLocalHookAdd()` may be used to provide additional operations that are performed during the update process.
2893: .seealso: [](ch_dmbase), `DM`, `DMCoarsen()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMGlobalToLocal()`, `DMGlobalToLocalEnd()`, `DMLocalToGlobalBegin()`, `DMLocalToGlobal()`, `DMLocalToGlobalEnd()`
2894: @*/
2895: PetscErrorCode DMGlobalToLocalBegin(DM dm, Vec g, InsertMode mode, Vec l)
2896: {
2897: PetscSF sf;
2898: DMGlobalToLocalHookLink link;
2900: PetscFunctionBegin;
2902: for (link = dm->gtolhook; link; link = link->next) {
2903: if (link->beginhook) PetscCall((*link->beginhook)(dm, g, mode, l, link->ctx));
2904: }
2905: PetscCall(DMGetSectionSF(dm, &sf));
2906: if (sf) {
2907: const PetscScalar *gArray;
2908: PetscScalar *lArray;
2909: PetscMemType lmtype, gmtype;
2911: PetscCheck(mode != ADD_VALUES, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Invalid insertion mode %d", (int)mode);
2912: PetscCall(VecGetArrayAndMemType(l, &lArray, &lmtype));
2913: PetscCall(VecGetArrayReadAndMemType(g, &gArray, &gmtype));
2914: PetscCall(PetscSFBcastWithMemTypeBegin(sf, MPIU_SCALAR, gmtype, gArray, lmtype, lArray, MPI_REPLACE));
2915: PetscCall(VecRestoreArrayAndMemType(l, &lArray));
2916: PetscCall(VecRestoreArrayReadAndMemType(g, &gArray));
2917: } else {
2918: PetscUseTypeMethod(dm, globaltolocalbegin, g, mode == INSERT_ALL_VALUES ? INSERT_VALUES : (mode == ADD_ALL_VALUES ? ADD_VALUES : mode), l);
2919: }
2920: PetscFunctionReturn(PETSC_SUCCESS);
2921: }
2923: /*@
2924: DMGlobalToLocalEnd - Ends updating local vectors from global vector
2926: Neighbor-wise Collective
2928: Input Parameters:
2929: + dm - the `DM` object
2930: . g - the global vector
2931: . mode - `INSERT_VALUES` or `ADD_VALUES`
2932: - l - the local vector
2934: Level: intermediate
2936: Note:
2937: See `DMGlobalToLocalBegin()` for details.
2939: .seealso: [](ch_dmbase), `DM`, `DMCoarsen()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMGlobalToLocal()`, `DMLocalToGlobalBegin()`, `DMLocalToGlobal()`, `DMLocalToGlobalEnd()`
2940: @*/
2941: PetscErrorCode DMGlobalToLocalEnd(DM dm, Vec g, InsertMode mode, Vec l)
2942: {
2943: PetscSF sf;
2944: const PetscScalar *gArray;
2945: PetscScalar *lArray;
2946: PetscBool transform;
2947: DMGlobalToLocalHookLink link;
2948: PetscMemType lmtype, gmtype;
2950: PetscFunctionBegin;
2952: PetscCall(DMGetSectionSF(dm, &sf));
2953: PetscCall(DMHasBasisTransform(dm, &transform));
2954: if (sf) {
2955: PetscCheck(mode != ADD_VALUES, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Invalid insertion mode %d", (int)mode);
2957: PetscCall(VecGetArrayAndMemType(l, &lArray, &lmtype));
2958: PetscCall(VecGetArrayReadAndMemType(g, &gArray, &gmtype));
2959: PetscCall(PetscSFBcastEnd(sf, MPIU_SCALAR, gArray, lArray, MPI_REPLACE));
2960: PetscCall(VecRestoreArrayAndMemType(l, &lArray));
2961: PetscCall(VecRestoreArrayReadAndMemType(g, &gArray));
2962: if (transform) PetscCall(DMPlexGlobalToLocalBasis(dm, l));
2963: } else {
2964: PetscUseTypeMethod(dm, globaltolocalend, g, mode == INSERT_ALL_VALUES ? INSERT_VALUES : (mode == ADD_ALL_VALUES ? ADD_VALUES : mode), l);
2965: }
2966: PetscCall(DMGlobalToLocalHook_Constraints(dm, g, mode, l, NULL));
2967: for (link = dm->gtolhook; link; link = link->next) {
2968: if (link->endhook) PetscCall((*link->endhook)(dm, g, mode, l, link->ctx));
2969: }
2970: PetscFunctionReturn(PETSC_SUCCESS);
2971: }
2973: /*@C
2974: DMLocalToGlobalHookAdd - adds a callback to be run when a local to global is called
2976: Logically Collective
2978: Input Parameters:
2979: + dm - the `DM`
2980: . beginhook - function to run at the beginning of `DMLocalToGlobalBegin()`
2981: . endhook - function to run after `DMLocalToGlobalEnd()` has completed
2982: - ctx - [optional] context for provide data for the hooks (may be `NULL`)
2984: Calling sequence of `beginhook`:
2985: + global - global `DM`
2986: . l - local vector
2987: . mode - mode
2988: . g - global vector
2989: - ctx - optional function context
2991: Calling sequence of `endhook`:
2992: + global - global `DM`
2993: . l - local vector
2994: . mode - mode
2995: . g - global vector
2996: - ctx - optional function context
2998: Level: advanced
3000: .seealso: [](ch_dmbase), `DM`, `DMLocalToGlobal()`, `DMRefineHookAdd()`, `DMGlobalToLocalHookAdd()`, `SNESFASGetInterpolation()`, `SNESFASGetInjection()`, `PetscObjectCompose()`, `PetscContainerCreate()`
3001: @*/
3002: PetscErrorCode DMLocalToGlobalHookAdd(DM dm, PetscErrorCode (*beginhook)(DM global, Vec l, InsertMode mode, Vec g, PetscCtx ctx), PetscErrorCode (*endhook)(DM global, Vec l, InsertMode mode, Vec g, PetscCtx ctx), PetscCtx ctx)
3003: {
3004: DMLocalToGlobalHookLink link, *p;
3006: PetscFunctionBegin;
3008: for (p = &dm->ltoghook; *p; p = &(*p)->next) { } /* Scan to the end of the current list of hooks */
3009: PetscCall(PetscNew(&link));
3010: link->beginhook = beginhook;
3011: link->endhook = endhook;
3012: link->ctx = ctx;
3013: link->next = NULL;
3014: *p = link;
3015: PetscFunctionReturn(PETSC_SUCCESS);
3016: }
3018: static PetscErrorCode DMLocalToGlobalHook_Constraints(DM dm, Vec l, InsertMode mode, Vec g, PetscCtx ctx)
3019: {
3020: PetscFunctionBegin;
3021: (void)g;
3022: (void)ctx;
3024: if (mode == ADD_VALUES || mode == ADD_ALL_VALUES || mode == ADD_BC_VALUES) {
3025: Mat cMat;
3026: Vec cVec;
3027: PetscInt nRows;
3028: PetscSection section, cSec;
3029: PetscInt pStart, pEnd, p, dof;
3031: PetscCall(DMGetDefaultConstraints(dm, &cSec, &cMat, NULL));
3032: if (!cMat) PetscFunctionReturn(PETSC_SUCCESS);
3034: PetscCall(MatGetSize(cMat, &nRows, NULL));
3035: if (nRows <= 0) PetscFunctionReturn(PETSC_SUCCESS);
3036: PetscCall(DMGetLocalSection(dm, §ion));
3037: PetscCall(MatCreateVecs(cMat, NULL, &cVec));
3038: PetscCall(PetscSectionGetChart(cSec, &pStart, &pEnd));
3039: for (p = pStart; p < pEnd; p++) {
3040: PetscCall(PetscSectionGetDof(cSec, p, &dof));
3041: if (dof) {
3042: PetscInt d;
3043: PetscScalar *vals;
3044: PetscCall(VecGetValuesSection(l, section, p, &vals));
3045: PetscCall(VecSetValuesSection(cVec, cSec, p, vals, mode));
3046: /* for this to be the true transpose, we have to zero the values that
3047: * we just extracted */
3048: for (d = 0; d < dof; d++) vals[d] = 0.;
3049: }
3050: }
3051: PetscCall(MatMultTransposeAdd(cMat, cVec, l, l));
3052: PetscCall(VecDestroy(&cVec));
3053: }
3054: PetscFunctionReturn(PETSC_SUCCESS);
3055: }
3056: /*@
3057: DMLocalToGlobal - updates global vectors from local vectors
3059: Neighbor-wise Collective
3061: Input Parameters:
3062: + dm - the `DM` object
3063: . l - the local vector
3064: . mode - if `INSERT_VALUES` then no parallel communication is used, if `ADD_VALUES` then all ghost points from the same base point accumulate into that base point.
3065: - g - the global vector
3067: Level: beginner
3069: Notes:
3070: The communication involved in this update can be overlapped with computation by using
3071: `DMLocalToGlobalBegin()` and `DMLocalToGlobalEnd()`.
3073: In the `ADD_VALUES` case you normally would zero the receiving vector before beginning this operation.
3075: `INSERT_VALUES` is not supported for `DMDA`; in that case simply compute the values directly into a global vector instead of a local one.
3077: Use `DMLocalToGlobalHookAdd()` to add additional operations that are performed on the data during the update process
3079: .seealso: [](ch_dmbase), `DM`, `DMLocalToGlobalBegin()`, `DMLocalToGlobalEnd()`, `DMCoarsen()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMGlobalToLocal()`, `DMGlobalToLocalEnd()`, `DMGlobalToLocalBegin()`, `DMLocalToGlobalHookAdd()`, `DMGlobaToLocallHookAdd()`
3080: @*/
3081: PetscErrorCode DMLocalToGlobal(DM dm, Vec l, InsertMode mode, Vec g)
3082: {
3083: PetscFunctionBegin;
3084: PetscCall(DMLocalToGlobalBegin(dm, l, mode, g));
3085: PetscCall(DMLocalToGlobalEnd(dm, l, mode, g));
3086: PetscFunctionReturn(PETSC_SUCCESS);
3087: }
3089: /*@
3090: DMLocalToGlobalBegin - begins updating global vectors from local vectors
3092: Neighbor-wise Collective
3094: Input Parameters:
3095: + dm - the `DM` object
3096: . l - the local vector
3097: . mode - if `INSERT_VALUES` then no parallel communication is used, if `ADD_VALUES` then all ghost points from the same base point accumulate into that base point.
3098: - g - the global vector
3100: Level: intermediate
3102: Notes:
3103: In the `ADD_VALUES` case you normally would zero the receiving vector before beginning this operation.
3105: `INSERT_VALUES is` not supported for `DMDA`, in that case simply compute the values directly into a global vector instead of a local one.
3107: Use `DMLocalToGlobalEnd()` to complete the communication process.
3109: `DMLocalToGlobal()` is a short form of `DMLocalToGlobalBegin()` and `DMLocalToGlobalEnd()`
3111: `DMLocalToGlobalHookAdd()` may be used to provide additional operations that are performed during the update process.
3113: .seealso: [](ch_dmbase), `DM`, `DMLocalToGlobal()`, `DMLocalToGlobalEnd()`, `DMCoarsen()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMGlobalToLocal()`, `DMGlobalToLocalEnd()`, `DMGlobalToLocalBegin()`
3114: @*/
3115: PetscErrorCode DMLocalToGlobalBegin(DM dm, Vec l, InsertMode mode, Vec g)
3116: {
3117: PetscSF sf;
3118: PetscSection s, gs;
3119: DMLocalToGlobalHookLink link;
3120: Vec tmpl;
3121: const PetscScalar *lArray;
3122: PetscScalar *gArray;
3123: PetscBool isInsert, transform, l_inplace = PETSC_FALSE, g_inplace = PETSC_FALSE;
3124: PetscMemType lmtype = PETSC_MEMTYPE_HOST, gmtype = PETSC_MEMTYPE_HOST;
3126: PetscFunctionBegin;
3128: for (link = dm->ltoghook; link; link = link->next) {
3129: if (link->beginhook) PetscCall((*link->beginhook)(dm, l, mode, g, link->ctx));
3130: }
3131: PetscCall(DMLocalToGlobalHook_Constraints(dm, l, mode, g, NULL));
3132: PetscCall(DMGetSectionSF(dm, &sf));
3133: PetscCall(DMGetLocalSection(dm, &s));
3134: switch (mode) {
3135: case INSERT_VALUES:
3136: case INSERT_ALL_VALUES:
3137: case INSERT_BC_VALUES:
3138: isInsert = PETSC_TRUE;
3139: break;
3140: case ADD_VALUES:
3141: case ADD_ALL_VALUES:
3142: case ADD_BC_VALUES:
3143: isInsert = PETSC_FALSE;
3144: break;
3145: default:
3146: SETERRQ(PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Invalid insertion mode %d", mode);
3147: }
3148: if ((sf && !isInsert) || (s && isInsert)) {
3149: PetscCall(DMHasBasisTransform(dm, &transform));
3150: if (transform) {
3151: PetscCall(DMGetNamedLocalVector(dm, "__petsc_dm_transform_local_copy", &tmpl));
3152: PetscCall(VecCopy(l, tmpl));
3153: PetscCall(DMPlexLocalToGlobalBasis(dm, tmpl));
3154: PetscCall(VecGetArrayRead(tmpl, &lArray));
3155: } else if (isInsert) {
3156: PetscCall(VecGetArrayRead(l, &lArray));
3157: } else {
3158: PetscCall(VecGetArrayReadAndMemType(l, &lArray, &lmtype));
3159: l_inplace = PETSC_TRUE;
3160: }
3161: if (s && isInsert) {
3162: PetscCall(VecGetArray(g, &gArray));
3163: } else {
3164: PetscCall(VecGetArrayAndMemType(g, &gArray, &gmtype));
3165: g_inplace = PETSC_TRUE;
3166: }
3167: if (sf && !isInsert) {
3168: PetscCall(PetscSFReduceWithMemTypeBegin(sf, MPIU_SCALAR, lmtype, lArray, gmtype, gArray, MPIU_SUM));
3169: } else if (s && isInsert) {
3170: PetscInt gStart, pStart, pEnd, p;
3172: PetscCall(DMGetGlobalSection(dm, &gs));
3173: PetscCall(PetscSectionGetChart(s, &pStart, &pEnd));
3174: PetscCall(VecGetOwnershipRange(g, &gStart, NULL));
3175: for (p = pStart; p < pEnd; ++p) {
3176: PetscInt dof, gdof, cdof, gcdof, off, goff, d, e;
3178: PetscCall(PetscSectionGetDof(s, p, &dof));
3179: PetscCall(PetscSectionGetDof(gs, p, &gdof));
3180: PetscCall(PetscSectionGetConstraintDof(s, p, &cdof));
3181: PetscCall(PetscSectionGetConstraintDof(gs, p, &gcdof));
3182: PetscCall(PetscSectionGetOffset(s, p, &off));
3183: PetscCall(PetscSectionGetOffset(gs, p, &goff));
3184: /* Ignore off-process data and points with no global data */
3185: if (!gdof || goff < 0) continue;
3186: PetscCheck(dof == gdof, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Inconsistent sizes, p: %" PetscInt_FMT " dof: %" PetscInt_FMT " gdof: %" PetscInt_FMT " cdof: %" PetscInt_FMT " gcdof: %" PetscInt_FMT, p, dof, gdof, cdof, gcdof);
3187: /* If no constraints are enforced in the global vector */
3188: if (!gcdof) {
3189: for (d = 0; d < dof; ++d) gArray[goff - gStart + d] = lArray[off + d];
3190: /* If constraints are enforced in the global vector */
3191: } else if (cdof == gcdof) {
3192: const PetscInt *cdofs;
3193: PetscInt cind = 0;
3195: PetscCall(PetscSectionGetConstraintIndices(s, p, &cdofs));
3196: for (d = 0, e = 0; d < dof; ++d) {
3197: if ((cind < cdof) && (d == cdofs[cind])) {
3198: ++cind;
3199: continue;
3200: }
3201: gArray[goff - gStart + e++] = lArray[off + d];
3202: }
3203: } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Inconsistent sizes, p: %" PetscInt_FMT " dof: %" PetscInt_FMT " gdof: %" PetscInt_FMT " cdof: %" PetscInt_FMT " gcdof: %" PetscInt_FMT, p, dof, gdof, cdof, gcdof);
3204: }
3205: }
3206: if (g_inplace) {
3207: PetscCall(VecRestoreArrayAndMemType(g, &gArray));
3208: } else {
3209: PetscCall(VecRestoreArray(g, &gArray));
3210: }
3211: if (transform) {
3212: PetscCall(VecRestoreArrayRead(tmpl, &lArray));
3213: PetscCall(DMRestoreNamedLocalVector(dm, "__petsc_dm_transform_local_copy", &tmpl));
3214: } else if (l_inplace) {
3215: PetscCall(VecRestoreArrayReadAndMemType(l, &lArray));
3216: } else {
3217: PetscCall(VecRestoreArrayRead(l, &lArray));
3218: }
3219: } else {
3220: PetscUseTypeMethod(dm, localtoglobalbegin, l, mode == INSERT_ALL_VALUES ? INSERT_VALUES : (mode == ADD_ALL_VALUES ? ADD_VALUES : mode), g);
3221: }
3222: PetscFunctionReturn(PETSC_SUCCESS);
3223: }
3225: /*@
3226: DMLocalToGlobalEnd - updates global vectors from local vectors
3228: Neighbor-wise Collective
3230: Input Parameters:
3231: + dm - the `DM` object
3232: . l - the local vector
3233: . mode - `INSERT_VALUES` or `ADD_VALUES`
3234: - g - the global vector
3236: Level: intermediate
3238: Note:
3239: See `DMLocalToGlobalBegin()` for full details
3241: .seealso: [](ch_dmbase), `DM`, `DMLocalToGlobalBegin()`, `DMCoarsen()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMGlobalToLocalEnd()`
3242: @*/
3243: PetscErrorCode DMLocalToGlobalEnd(DM dm, Vec l, InsertMode mode, Vec g)
3244: {
3245: PetscSF sf;
3246: PetscSection s;
3247: DMLocalToGlobalHookLink link;
3248: PetscBool isInsert, transform;
3250: PetscFunctionBegin;
3252: PetscCall(DMGetSectionSF(dm, &sf));
3253: PetscCall(DMGetLocalSection(dm, &s));
3254: switch (mode) {
3255: case INSERT_VALUES:
3256: case INSERT_ALL_VALUES:
3257: isInsert = PETSC_TRUE;
3258: break;
3259: case ADD_VALUES:
3260: case ADD_ALL_VALUES:
3261: isInsert = PETSC_FALSE;
3262: break;
3263: default:
3264: SETERRQ(PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Invalid insertion mode %d", mode);
3265: }
3266: if (sf && !isInsert) {
3267: const PetscScalar *lArray;
3268: PetscScalar *gArray;
3269: Vec tmpl;
3271: PetscCall(DMHasBasisTransform(dm, &transform));
3272: if (transform) {
3273: PetscCall(DMGetNamedLocalVector(dm, "__petsc_dm_transform_local_copy", &tmpl));
3274: PetscCall(VecGetArrayRead(tmpl, &lArray));
3275: } else {
3276: PetscCall(VecGetArrayReadAndMemType(l, &lArray, NULL));
3277: }
3278: PetscCall(VecGetArrayAndMemType(g, &gArray, NULL));
3279: PetscCall(PetscSFReduceEnd(sf, MPIU_SCALAR, lArray, gArray, MPIU_SUM));
3280: if (transform) {
3281: PetscCall(VecRestoreArrayRead(tmpl, &lArray));
3282: PetscCall(DMRestoreNamedLocalVector(dm, "__petsc_dm_transform_local_copy", &tmpl));
3283: } else {
3284: PetscCall(VecRestoreArrayReadAndMemType(l, &lArray));
3285: }
3286: PetscCall(VecRestoreArrayAndMemType(g, &gArray));
3287: } else if (s && isInsert) {
3288: } else {
3289: PetscUseTypeMethod(dm, localtoglobalend, l, mode == INSERT_ALL_VALUES ? INSERT_VALUES : (mode == ADD_ALL_VALUES ? ADD_VALUES : mode), g);
3290: }
3291: for (link = dm->ltoghook; link; link = link->next) {
3292: if (link->endhook) PetscCall((*link->endhook)(dm, g, mode, l, link->ctx));
3293: }
3294: PetscFunctionReturn(PETSC_SUCCESS);
3295: }
3297: /*@
3298: DMLocalToLocalBegin - Begins the process of mapping values from a local vector (that include
3299: ghost points that contain irrelevant values) to another local vector where the ghost points
3300: in the second are set correctly from values on other MPI ranks.
3302: Neighbor-wise Collective
3304: Input Parameters:
3305: + dm - the `DM` object
3306: . g - the original local vector
3307: - mode - one of `INSERT_VALUES` or `ADD_VALUES`
3309: Output Parameter:
3310: . l - the local vector with correct ghost values
3312: Level: intermediate
3314: Note:
3315: Must be followed by `DMLocalToLocalEnd()`.
3317: .seealso: [](ch_dmbase), `DM`, `DMLocalToLocalEnd()`, `DMCoarsen()`, `DMDestroy()`, `DMView()`, `DMCreateLocalVector()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMGlobalToLocalEnd()`, `DMLocalToGlobalBegin()`
3318: @*/
3319: PetscErrorCode DMLocalToLocalBegin(DM dm, Vec g, InsertMode mode, Vec l)
3320: {
3321: PetscFunctionBegin;
3325: PetscUseTypeMethod(dm, localtolocalbegin, g, mode == INSERT_ALL_VALUES ? INSERT_VALUES : (mode == ADD_ALL_VALUES ? ADD_VALUES : mode), l);
3326: PetscFunctionReturn(PETSC_SUCCESS);
3327: }
3329: /*@
3330: DMLocalToLocalEnd - Maps from a local vector to another local vector where the ghost
3331: points in the second are set correctly. Must be preceded by `DMLocalToLocalBegin()`.
3333: Neighbor-wise Collective
3335: Input Parameters:
3336: + dm - the `DM` object
3337: . g - the original local vector
3338: - mode - one of `INSERT_VALUES` or `ADD_VALUES`
3340: Output Parameter:
3341: . l - the local vector with correct ghost values
3343: Level: intermediate
3345: .seealso: [](ch_dmbase), `DM`, `DMLocalToLocalBegin()`, `DMCoarsen()`, `DMDestroy()`, `DMView()`, `DMCreateLocalVector()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMGlobalToLocalEnd()`, `DMLocalToGlobalBegin()`
3346: @*/
3347: PetscErrorCode DMLocalToLocalEnd(DM dm, Vec g, InsertMode mode, Vec l)
3348: {
3349: PetscFunctionBegin;
3353: PetscUseTypeMethod(dm, localtolocalend, g, mode == INSERT_ALL_VALUES ? INSERT_VALUES : (mode == ADD_ALL_VALUES ? ADD_VALUES : mode), l);
3354: PetscFunctionReturn(PETSC_SUCCESS);
3355: }
3357: /*@
3358: DMCoarsen - Coarsens a `DM` object using a standard, non-adaptive coarsening of the underlying mesh
3360: Collective
3362: Input Parameters:
3363: + dm - the `DM` object
3364: - comm - the communicator to contain the new `DM` object (or `MPI_COMM_NULL`)
3366: Output Parameter:
3367: . dmc - the coarsened `DM`
3369: Level: developer
3371: .seealso: [](ch_dmbase), `DM`, `DMRefine()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateDomainDecomposition()`,
3372: `DMCoarsenHookAdd()`, `DMCoarsenHookRemove()`
3373: @*/
3374: PetscErrorCode DMCoarsen(DM dm, MPI_Comm comm, DM *dmc)
3375: {
3376: DMCoarsenHookLink link;
3378: PetscFunctionBegin;
3380: PetscCall(PetscLogEventBegin(DM_Coarsen, dm, 0, 0, 0));
3381: PetscUseTypeMethod(dm, coarsen, comm, dmc);
3382: if (*dmc) {
3383: (*dmc)->bind_below = dm->bind_below; /* Propagate this from parent DM; otherwise -dm_bind_below will be useless for multigrid cases. */
3384: PetscCall(DMSetCoarseDM(dm, *dmc));
3385: (*dmc)->ops->creatematrix = dm->ops->creatematrix;
3386: PetscCall(PetscObjectCopyFortranFunctionPointers((PetscObject)dm, (PetscObject)*dmc));
3387: (*dmc)->ctx = dm->ctx;
3388: (*dmc)->levelup = dm->levelup;
3389: (*dmc)->leveldown = dm->leveldown + 1;
3390: PetscCall(DMSetMatType(*dmc, dm->mattype));
3391: for (link = dm->coarsenhook; link; link = link->next) {
3392: if (link->coarsenhook) PetscCall((*link->coarsenhook)(dm, *dmc, link->ctx));
3393: }
3394: }
3395: PetscCall(PetscLogEventEnd(DM_Coarsen, dm, 0, 0, 0));
3396: PetscCheck(*dmc, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "NULL coarse mesh produced");
3397: PetscFunctionReturn(PETSC_SUCCESS);
3398: }
3400: /*@C
3401: DMCoarsenHookAdd - adds a callback to be run when restricting a nonlinear problem to the coarse grid
3403: Logically Collective; No Fortran Support
3405: Input Parameters:
3406: + fine - `DM` on which to run a hook when restricting to a coarser level
3407: . coarsenhook - function to run when setting up a coarser level
3408: . restricthook - function to run to update data on coarser levels (called once per `SNESSolve()`)
3409: - ctx - [optional] application context for provide data for the hooks (may be `NULL`)
3411: Calling sequence of `coarsenhook`:
3412: + fine - fine level `DM`
3413: . coarse - coarse level `DM` to restrict problem to
3414: - ctx - optional application function context
3416: Calling sequence of `restricthook`:
3417: + fine - fine level `DM`
3418: . mrestrict - matrix restricting a fine-level solution to the coarse grid, usually the transpose of the interpolation
3419: . rscale - scaling vector for restriction
3420: . inject - matrix restricting by injection
3421: . coarse - coarse level DM to update
3422: - ctx - optional application function context
3424: Level: advanced
3426: Notes:
3427: This function is only needed if auxiliary data, attached to the `DM` with `PetscObjectCompose()`, needs to be set up or passed from the fine `DM` to the coarse `DM`.
3429: If this function is called multiple times, the hooks will be run in the order they are added.
3431: In order to compose with nonlinear preconditioning without duplicating storage, the hook should be implemented to
3432: extract the finest level information from its context (instead of from the `SNES`).
3434: The hooks are automatically called by `DMRestrict()`
3436: .seealso: [](ch_dmbase), `DM`, `DMCoarsenHookRemove()`, `DMRefineHookAdd()`, `SNESFASGetInterpolation()`, `SNESFASGetInjection()`, `PetscObjectCompose()`, `PetscContainerCreate()`
3437: @*/
3438: PetscErrorCode DMCoarsenHookAdd(DM fine, PetscErrorCode (*coarsenhook)(DM fine, DM coarse, PetscCtx ctx), PetscErrorCode (*restricthook)(DM fine, Mat mrestrict, Vec rscale, Mat inject, DM coarse, PetscCtx ctx), PetscCtx ctx)
3439: {
3440: DMCoarsenHookLink link, *p;
3442: PetscFunctionBegin;
3444: for (p = &fine->coarsenhook; *p; p = &(*p)->next) { /* Scan to the end of the current list of hooks */
3445: if ((*p)->coarsenhook == coarsenhook && (*p)->restricthook == restricthook && (*p)->ctx == ctx) PetscFunctionReturn(PETSC_SUCCESS);
3446: }
3447: PetscCall(PetscNew(&link));
3448: link->coarsenhook = coarsenhook;
3449: link->restricthook = restricthook;
3450: link->ctx = ctx;
3451: link->next = NULL;
3452: *p = link;
3453: PetscFunctionReturn(PETSC_SUCCESS);
3454: }
3456: /*@C
3457: DMCoarsenHookRemove - remove a callback set with `DMCoarsenHookAdd()`
3459: Logically Collective; No Fortran Support
3461: Input Parameters:
3462: + fine - `DM` on which to run a hook when restricting to a coarser level
3463: . coarsenhook - function to run when setting up a coarser level
3464: . restricthook - function to run to update data on coarser levels
3465: - ctx - [optional] application context for provide data for the hooks (may be `NULL`)
3467: Calling sequence of `coarsenhook`:
3468: + fine - fine level `DM`
3469: . coarse - coarse level `DM` to restrict problem to
3470: - ctx - optional application function context
3472: Calling sequence of `restricthook`:
3473: + fine - fine level `DM`
3474: . rstrict - matrix restricting a fine-level solution to the coarse grid, usually the transpose of the interpolation
3475: . rscale - scaling vector for restriction
3476: . inject - matrix restricting by injection
3477: . coarse - coarse level DM to update
3478: - ctx - optional application function context
3480: Level: advanced
3482: Notes:
3483: This function does nothing if the `coarsenhook` is not in the list.
3485: See `DMCoarsenHookAdd()` for the calling sequence of `coarsenhook` and `restricthook`
3487: .seealso: [](ch_dmbase), `DM`, `DMCoarsenHookAdd()`, `DMRefineHookAdd()`, `SNESFASGetInterpolation()`, `SNESFASGetInjection()`, `PetscObjectCompose()`, `PetscContainerCreate()`
3488: @*/
3489: PetscErrorCode DMCoarsenHookRemove(DM fine, PetscErrorCode (*coarsenhook)(DM fine, DM coarse, PetscCtx ctx), PetscErrorCode (*restricthook)(DM fine, Mat rstrict, Vec rscale, Mat inject, DM coarse, PetscCtx ctx), PetscCtx ctx)
3490: {
3491: DMCoarsenHookLink link, *p;
3493: PetscFunctionBegin;
3495: for (p = &fine->coarsenhook; *p; p = &(*p)->next) { /* Search the list of current hooks */
3496: if ((*p)->coarsenhook == coarsenhook && (*p)->restricthook == restricthook && (*p)->ctx == ctx) {
3497: link = *p;
3498: *p = link->next;
3499: PetscCall(PetscFree(link));
3500: break;
3501: }
3502: }
3503: PetscFunctionReturn(PETSC_SUCCESS);
3504: }
3506: /*@
3507: DMRestrict - restricts user-defined problem data to a coarser `DM` by running hooks registered by `DMCoarsenHookAdd()`
3509: Collective if any hooks are
3511: Input Parameters:
3512: + fine - finer `DM` from which the data is obtained
3513: . restrct - restriction matrix, apply using `MatRestrict()`, usually the transpose of the interpolation
3514: . rscale - scaling vector for restriction
3515: . inject - injection matrix, also use `MatRestrict()`
3516: - coarse - coarser `DM` to update
3518: Level: developer
3520: Developer Note:
3521: Though this routine is called `DMRestrict()` the hooks are added with `DMCoarsenHookAdd()`, a consistent terminology would be better
3523: .seealso: [](ch_dmbase), `DM`, `DMCoarsenHookAdd()`, `MatRestrict()`, `DMInterpolate()`, `DMRefineHookAdd()`
3524: @*/
3525: PetscErrorCode DMRestrict(DM fine, Mat restrct, Vec rscale, Mat inject, DM coarse)
3526: {
3527: DMCoarsenHookLink link;
3529: PetscFunctionBegin;
3530: for (link = fine->coarsenhook; link; link = link->next) {
3531: if (link->restricthook) PetscCall((*link->restricthook)(fine, restrct, rscale, inject, coarse, link->ctx));
3532: }
3533: PetscFunctionReturn(PETSC_SUCCESS);
3534: }
3536: /*@C
3537: DMSubDomainHookAdd - adds a callback to be run when restricting a problem to subdomain `DM`s with `DMCreateDomainDecomposition()`
3539: Logically Collective; No Fortran Support
3541: Input Parameters:
3542: + global - global `DM`
3543: . ddhook - function to run to pass data to the decomposition `DM` upon its creation
3544: . restricthook - function to run to update data on block solve (at the beginning of the block solve)
3545: - ctx - [optional] application context for provide data for the hooks (may be `NULL`)
3547: Calling sequence of `ddhook`:
3548: + global - global `DM`
3549: . block - subdomain `DM`
3550: - ctx - optional application function context
3552: Calling sequence of `restricthook`:
3553: + global - global `DM`
3554: . out - scatter to the outer (with ghost and overlap points) sub vector
3555: . in - scatter to sub vector values only owned locally
3556: . block - subdomain `DM`
3557: - ctx - optional application function context
3559: Level: advanced
3561: Notes:
3562: This function can be used if auxiliary data needs to be set up on subdomain `DM`s.
3564: If this function is called multiple times, the hooks will be run in the order they are added.
3566: In order to compose with nonlinear preconditioning without duplicating storage, the hook should be implemented to
3567: extract the global information from its context (instead of from the `SNES`).
3569: Developer Note:
3570: It is unclear what "block solve" means within the definition of `restricthook`
3572: .seealso: [](ch_dmbase), `DM`, `DMSubDomainHookRemove()`, `DMRefineHookAdd()`, `SNESFASGetInterpolation()`, `SNESFASGetInjection()`, `PetscObjectCompose()`, `PetscContainerCreate()`, `DMCreateDomainDecomposition()`
3573: @*/
3574: PetscErrorCode DMSubDomainHookAdd(DM global, PetscErrorCode (*ddhook)(DM global, DM block, PetscCtx ctx), PetscErrorCode (*restricthook)(DM global, VecScatter out, VecScatter in, DM block, PetscCtx ctx), PetscCtx ctx)
3575: {
3576: DMSubDomainHookLink link, *p;
3578: PetscFunctionBegin;
3580: for (p = &global->subdomainhook; *p; p = &(*p)->next) { /* Scan to the end of the current list of hooks */
3581: if ((*p)->ddhook == ddhook && (*p)->restricthook == restricthook && (*p)->ctx == ctx) PetscFunctionReturn(PETSC_SUCCESS);
3582: }
3583: PetscCall(PetscNew(&link));
3584: link->restricthook = restricthook;
3585: link->ddhook = ddhook;
3586: link->ctx = ctx;
3587: link->next = NULL;
3588: *p = link;
3589: PetscFunctionReturn(PETSC_SUCCESS);
3590: }
3592: /*@C
3593: DMSubDomainHookRemove - remove a callback from the list to be run when restricting a problem to subdomain `DM`s with `DMCreateDomainDecomposition()`
3595: Logically Collective; No Fortran Support
3597: Input Parameters:
3598: + global - global `DM`
3599: . ddhook - function to run to pass data to the decomposition `DM` upon its creation
3600: . restricthook - function to run to update data on block solve (at the beginning of the block solve)
3601: - ctx - [optional] application context for provide data for the hooks (may be `NULL`)
3603: Calling sequence of `ddhook`:
3604: + dm - global `DM`
3605: . block - subdomain `DM`
3606: - ctx - optional application function context
3608: Calling sequence of `restricthook`:
3609: + dm - global `DM`
3610: . oscatter - scatter to the outer (with ghost and overlap points) sub vector
3611: . gscatter - scatter to sub vector values only owned locally
3612: . block - subdomain `DM`
3613: - ctx - optional application function context
3615: Level: advanced
3617: .seealso: [](ch_dmbase), `DM`, `DMSubDomainHookAdd()`, `SNESFASGetInterpolation()`, `SNESFASGetInjection()`, `PetscObjectCompose()`, `PetscContainerCreate()`,
3618: `DMCreateDomainDecomposition()`
3619: @*/
3620: PetscErrorCode DMSubDomainHookRemove(DM global, PetscErrorCode (*ddhook)(DM dm, DM block, PetscCtx ctx), PetscErrorCode (*restricthook)(DM dm, VecScatter oscatter, VecScatter gscatter, DM block, PetscCtx ctx), PetscCtx ctx)
3621: {
3622: DMSubDomainHookLink link, *p;
3624: PetscFunctionBegin;
3626: for (p = &global->subdomainhook; *p; p = &(*p)->next) { /* Search the list of current hooks */
3627: if ((*p)->ddhook == ddhook && (*p)->restricthook == restricthook && (*p)->ctx == ctx) {
3628: link = *p;
3629: *p = link->next;
3630: PetscCall(PetscFree(link));
3631: break;
3632: }
3633: }
3634: PetscFunctionReturn(PETSC_SUCCESS);
3635: }
3637: /*@
3638: DMSubDomainRestrict - restricts user-defined problem data to a subdomain `DM` by running hooks registered by `DMSubDomainHookAdd()`
3640: Collective if any hooks are
3642: Input Parameters:
3643: + global - The global `DM` to use as a base
3644: . oscatter - The scatter from domain global vector filling subdomain global vector with overlap
3645: . gscatter - The scatter from domain global vector filling subdomain local vector with ghosts
3646: - subdm - The subdomain `DM` to update
3648: Level: developer
3650: .seealso: [](ch_dmbase), `DM`, `DMCoarsenHookAdd()`, `MatRestrict()`, `DMCreateDomainDecomposition()`
3651: @*/
3652: PetscErrorCode DMSubDomainRestrict(DM global, VecScatter oscatter, VecScatter gscatter, DM subdm)
3653: {
3654: DMSubDomainHookLink link;
3656: PetscFunctionBegin;
3657: for (link = global->subdomainhook; link; link = link->next) {
3658: if (link->restricthook) PetscCall((*link->restricthook)(global, oscatter, gscatter, subdm, link->ctx));
3659: }
3660: PetscFunctionReturn(PETSC_SUCCESS);
3661: }
3663: /*@
3664: DMGetCoarsenLevel - Gets the number of coarsenings that have generated this `DM`.
3666: Not Collective
3668: Input Parameter:
3669: . dm - the `DM` object
3671: Output Parameter:
3672: . level - number of coarsenings
3674: Level: developer
3676: .seealso: [](ch_dmbase), `DM`, `DMCoarsen()`, `DMSetCoarsenLevel()`, `DMGetRefineLevel()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`
3677: @*/
3678: PetscErrorCode DMGetCoarsenLevel(DM dm, PetscInt *level)
3679: {
3680: PetscFunctionBegin;
3682: PetscAssertPointer(level, 2);
3683: *level = dm->leveldown;
3684: PetscFunctionReturn(PETSC_SUCCESS);
3685: }
3687: /*@
3688: DMSetCoarsenLevel - Sets the number of coarsenings that have generated this `DM`.
3690: Collective
3692: Input Parameters:
3693: + dm - the `DM` object
3694: - level - number of coarsenings
3696: Level: developer
3698: Note:
3699: This is rarely used directly, the information is automatically set when a `DM` is created with `DMCoarsen()`
3701: .seealso: [](ch_dmbase), `DM`, `DMCoarsen()`, `DMGetCoarsenLevel()`, `DMGetRefineLevel()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`
3702: @*/
3703: PetscErrorCode DMSetCoarsenLevel(DM dm, PetscInt level)
3704: {
3705: PetscFunctionBegin;
3707: dm->leveldown = level;
3708: PetscFunctionReturn(PETSC_SUCCESS);
3709: }
3711: /*@
3712: DMRefineHierarchy - Refines a `DM` object, all levels at once
3714: Collective
3716: Input Parameters:
3717: + dm - the `DM` object
3718: - nlevels - the number of levels of refinement
3720: Output Parameter:
3721: . dmf - the refined `DM` hierarchy
3723: Level: developer
3725: .seealso: [](ch_dmbase), `DM`, `DMCoarsen()`, `DMCoarsenHierarchy()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`
3726: @*/
3727: PetscErrorCode DMRefineHierarchy(DM dm, PetscInt nlevels, DM dmf[])
3728: {
3729: PetscFunctionBegin;
3731: PetscCheck(nlevels >= 0, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "nlevels cannot be negative");
3732: if (nlevels == 0) PetscFunctionReturn(PETSC_SUCCESS);
3733: PetscAssertPointer(dmf, 3);
3734: if (dm->ops->refine && !dm->ops->refinehierarchy) {
3735: PetscInt i;
3737: PetscCall(DMRefine(dm, PetscObjectComm((PetscObject)dm), &dmf[0]));
3738: for (i = 1; i < nlevels; i++) PetscCall(DMRefine(dmf[i - 1], PetscObjectComm((PetscObject)dm), &dmf[i]));
3739: } else PetscUseTypeMethod(dm, refinehierarchy, nlevels, dmf);
3740: PetscFunctionReturn(PETSC_SUCCESS);
3741: }
3743: /*@
3744: DMCoarsenHierarchy - Coarsens a `DM` object, all levels at once
3746: Collective
3748: Input Parameters:
3749: + dm - the `DM` object
3750: - nlevels - the number of levels of coarsening
3752: Output Parameter:
3753: . dmc - the coarsened `DM` hierarchy
3755: Level: developer
3757: .seealso: [](ch_dmbase), `DM`, `DMCoarsen()`, `DMRefineHierarchy()`, `DMDestroy()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`
3758: @*/
3759: PetscErrorCode DMCoarsenHierarchy(DM dm, PetscInt nlevels, DM dmc[])
3760: {
3761: PetscFunctionBegin;
3763: PetscCheck(nlevels >= 0, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "nlevels cannot be negative");
3764: if (nlevels == 0) PetscFunctionReturn(PETSC_SUCCESS);
3765: PetscAssertPointer(dmc, 3);
3766: if (dm->ops->coarsen && !dm->ops->coarsenhierarchy) {
3767: PetscInt i;
3769: PetscCall(DMCoarsen(dm, PetscObjectComm((PetscObject)dm), &dmc[0]));
3770: for (i = 1; i < nlevels; i++) PetscCall(DMCoarsen(dmc[i - 1], PetscObjectComm((PetscObject)dm), &dmc[i]));
3771: } else PetscUseTypeMethod(dm, coarsenhierarchy, nlevels, dmc);
3772: PetscFunctionReturn(PETSC_SUCCESS);
3773: }
3775: /*@C
3776: DMSetApplicationContextDestroy - Sets a user function that will be called to destroy the application context when the `DM` is destroyed
3778: Logically Collective if the function is collective
3780: Input Parameters:
3781: + dm - the `DM` object
3782: - destroy - the destroy function, see `PetscCtxDestroyFn` for the calling sequence
3784: Level: intermediate
3786: .seealso: [](ch_dmbase), `DM`, `DMSetApplicationContext()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`,
3787: `DMGetApplicationContext()`, `PetscCtxDestroyFn`
3788: @*/
3789: PetscErrorCode DMSetApplicationContextDestroy(DM dm, PetscCtxDestroyFn *destroy)
3790: {
3791: PetscFunctionBegin;
3793: dm->ctxdestroy = destroy;
3794: PetscFunctionReturn(PETSC_SUCCESS);
3795: }
3797: /*@
3798: DMSetApplicationContext - Set a user context into a `DM` object
3800: Not Collective
3802: Input Parameters:
3803: + dm - the `DM` object
3804: - ctx - the user context
3806: Level: intermediate
3808: Note:
3809: A user context is a way to pass problem specific information that is accessible whenever the `DM` is available
3810: In a multilevel solver, the user context is shared by all the `DM` in the hierarchy; it is thus not advisable
3811: to store objects that represent discretized quantities inside the context.
3813: Fortran Notes:
3814: This only works when the context is a Fortran derived type or a `PetscObject`. Declare `ctx` with
3815: .vb
3816: type(tUsertype), pointer :: ctx
3817: .ve
3819: .seealso: [](ch_dmbase), `DM`, `DMGetApplicationContext()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`
3820: @*/
3821: PetscErrorCode DMSetApplicationContext(DM dm, PetscCtx ctx)
3822: {
3823: PetscFunctionBegin;
3825: dm->ctx = ctx;
3826: PetscFunctionReturn(PETSC_SUCCESS);
3827: }
3829: /*@
3830: DMGetApplicationContext - Gets a user context from a `DM` object provided with `DMSetApplicationContext()`
3832: Not Collective
3834: Input Parameter:
3835: . dm - the `DM` object
3837: Output Parameter:
3838: . ctx - a pointer to the user context
3840: Level: intermediate
3842: Note:
3843: A user context is a way to pass problem specific information that is accessible whenever the `DM` is available
3845: Fortran Notes:
3846: This only works when the context is a Fortran derived type (it cannot be a `PetscObject`) and you **must** write a Fortran interface definition for this
3847: function that tells the Fortran compiler the derived data type that is returned as the `ctx` argument. For example,
3848: .vb
3849: Interface DMGetApplicationContext
3850: Subroutine DMGetApplicationContext(dm,ctx,ierr)
3851: #include <petsc/finclude/petscdm.h>
3852: use petscdm
3853: DM dm
3854: type(tUsertype), pointer :: ctx
3855: PetscErrorCode ierr
3856: End Subroutine
3857: End Interface DMGetApplicationContext
3858: .ve
3860: The prototype for `ctx` must be
3861: .vb
3862: type(tUsertype), pointer :: ctx
3863: .ve
3865: .seealso: [](ch_dmbase), `DM`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`
3866: @*/
3867: PetscErrorCode DMGetApplicationContext(DM dm, PetscCtxRt ctx)
3868: {
3869: PetscFunctionBegin;
3871: *(void **)ctx = dm->ctx;
3872: PetscFunctionReturn(PETSC_SUCCESS);
3873: }
3875: /*@C
3876: DMSetVariableBounds - sets a function to compute the lower and upper bound vectors for `SNESVI`.
3878: Logically Collective
3880: Input Parameters:
3881: + dm - the `DM` object
3882: - f - the function that computes variable bounds used by `SNESVI` (use `NULL` to cancel a previous function that was set)
3884: Calling sequence of f:
3885: + dm - the `DM`
3886: . lower - the vector to hold the lower bounds
3887: - upper - the vector to hold the upper bounds
3889: Level: intermediate
3891: Developer Note:
3892: Should be called `DMSetComputeVIBounds()` or something similar
3894: .seealso: [](ch_dmbase), `DM`, `DMComputeVariableBounds()`, `DMHasVariableBounds()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMGetApplicationContext()`,
3895: `DMSetJacobian()`
3896: @*/
3897: PetscErrorCode DMSetVariableBounds(DM dm, PetscErrorCode (*f)(DM dm, Vec lower, Vec upper))
3898: {
3899: PetscFunctionBegin;
3901: dm->ops->computevariablebounds = f;
3902: PetscFunctionReturn(PETSC_SUCCESS);
3903: }
3905: /*@
3906: DMHasVariableBounds - does the `DM` object have a variable bounds function?
3908: Not Collective
3910: Input Parameter:
3911: . dm - the `DM` object to destroy
3913: Output Parameter:
3914: . flg - `PETSC_TRUE` if the variable bounds function exists
3916: Level: developer
3918: .seealso: [](ch_dmbase), `DM`, `DMComputeVariableBounds()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMGetApplicationContext()`
3919: @*/
3920: PetscErrorCode DMHasVariableBounds(DM dm, PetscBool *flg)
3921: {
3922: PetscFunctionBegin;
3924: PetscAssertPointer(flg, 2);
3925: *flg = (dm->ops->computevariablebounds) ? PETSC_TRUE : PETSC_FALSE;
3926: PetscFunctionReturn(PETSC_SUCCESS);
3927: }
3929: /*@
3930: DMComputeVariableBounds - compute variable bounds used by `SNESVI`.
3932: Logically Collective
3934: Input Parameter:
3935: . dm - the `DM` object
3937: Output Parameters:
3938: + xl - lower bound
3939: - xu - upper bound
3941: Level: advanced
3943: Note:
3944: This is generally not called by users. It calls the function provided by the user with DMSetVariableBounds()
3946: .seealso: [](ch_dmbase), `DM`, `DMHasVariableBounds()`, `DMView()`, `DMCreateGlobalVector()`, `DMCreateInterpolation()`, `DMCreateColoring()`, `DMCreateMatrix()`, `DMCreateMassMatrix()`, `DMGetApplicationContext()`
3947: @*/
3948: PetscErrorCode DMComputeVariableBounds(DM dm, Vec xl, Vec xu)
3949: {
3950: PetscFunctionBegin;
3954: PetscUseTypeMethod(dm, computevariablebounds, xl, xu);
3955: PetscFunctionReturn(PETSC_SUCCESS);
3956: }
3958: /*@
3959: DMHasColoring - does the `DM` object have a method of providing a coloring?
3961: Not Collective
3963: Input Parameter:
3964: . dm - the DM object
3966: Output Parameter:
3967: . flg - `PETSC_TRUE` if the `DM` has facilities for `DMCreateColoring()`.
3969: Level: developer
3971: .seealso: [](ch_dmbase), `DM`, `DMCreateColoring()`
3972: @*/
3973: PetscErrorCode DMHasColoring(DM dm, PetscBool *flg)
3974: {
3975: PetscFunctionBegin;
3977: PetscAssertPointer(flg, 2);
3978: *flg = (dm->ops->getcoloring) ? PETSC_TRUE : PETSC_FALSE;
3979: PetscFunctionReturn(PETSC_SUCCESS);
3980: }
3982: /*@
3983: DMHasCreateRestriction - does the `DM` object have a method of providing a restriction?
3985: Not Collective
3987: Input Parameter:
3988: . dm - the `DM` object
3990: Output Parameter:
3991: . flg - `PETSC_TRUE` if the `DM` has facilities for `DMCreateRestriction()`.
3993: Level: developer
3995: .seealso: [](ch_dmbase), `DM`, `DMCreateRestriction()`, `DMHasCreateInterpolation()`, `DMHasCreateInjection()`
3996: @*/
3997: PetscErrorCode DMHasCreateRestriction(DM dm, PetscBool *flg)
3998: {
3999: PetscFunctionBegin;
4001: PetscAssertPointer(flg, 2);
4002: *flg = (dm->ops->createrestriction) ? PETSC_TRUE : PETSC_FALSE;
4003: PetscFunctionReturn(PETSC_SUCCESS);
4004: }
4006: /*@
4007: DMHasCreateInjection - does the `DM` object have a method of providing an injection?
4009: Not Collective
4011: Input Parameter:
4012: . dm - the `DM` object
4014: Output Parameter:
4015: . flg - `PETSC_TRUE` if the `DM` has facilities for `DMCreateInjection()`.
4017: Level: developer
4019: .seealso: [](ch_dmbase), `DM`, `DMCreateInjection()`, `DMHasCreateRestriction()`, `DMHasCreateInterpolation()`
4020: @*/
4021: PetscErrorCode DMHasCreateInjection(DM dm, PetscBool *flg)
4022: {
4023: PetscFunctionBegin;
4025: PetscAssertPointer(flg, 2);
4026: if (dm->ops->hascreateinjection) PetscUseTypeMethod(dm, hascreateinjection, flg);
4027: else *flg = (dm->ops->createinjection) ? PETSC_TRUE : PETSC_FALSE;
4028: PetscFunctionReturn(PETSC_SUCCESS);
4029: }
4031: PetscFunctionList DMList = NULL;
4032: PetscBool DMRegisterAllCalled = PETSC_FALSE;
4034: /*@
4035: DMSetType - Builds a `DM`, for a particular `DM` implementation.
4037: Collective
4039: Input Parameters:
4040: + dm - The `DM` object
4041: - method - The name of the `DMType`, for example `DMDA`, `DMPLEX`
4043: Options Database Key:
4044: . -dm_type <type> - Sets the `DM` type; use -help for a list of available types
4046: Level: intermediate
4048: Note:
4049: Of the `DM` is constructed by directly calling a function to construct a particular `DM`, for example, `DMDACreate2d()` or `DMPlexCreateBoxMesh()`
4051: .seealso: [](ch_dmbase), `DM`, `DMType`, `DMDA`, `DMPLEX`, `DMGetType()`, `DMCreate()`, `DMDACreate2d()`
4052: @*/
4053: PetscErrorCode DMSetType(DM dm, DMType method)
4054: {
4055: PetscErrorCode (*r)(DM);
4056: PetscBool match;
4058: PetscFunctionBegin;
4060: PetscCall(PetscObjectTypeCompare((PetscObject)dm, method, &match));
4061: if (match) PetscFunctionReturn(PETSC_SUCCESS);
4063: PetscCall(DMRegisterAll());
4064: PetscCall(PetscFunctionListFind(DMList, method, &r));
4065: PetscCheck(r, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_UNKNOWN_TYPE, "Unknown DM type: %s", method);
4067: PetscTryTypeMethod(dm, destroy);
4068: PetscCall(PetscMemzero(dm->ops, sizeof(*dm->ops)));
4069: PetscCall(PetscObjectChangeTypeName((PetscObject)dm, method));
4070: PetscCall((*r)(dm));
4071: PetscFunctionReturn(PETSC_SUCCESS);
4072: }
4074: /*@
4075: DMGetType - Gets the `DM` type name (as a string) from the `DM`.
4077: Not Collective
4079: Input Parameter:
4080: . dm - The `DM`
4082: Output Parameter:
4083: . type - The `DMType` name
4085: Level: intermediate
4087: .seealso: [](ch_dmbase), `DM`, `DMType`, `DMDA`, `DMPLEX`, `DMSetType()`, `DMCreate()`
4088: @*/
4089: PetscErrorCode DMGetType(DM dm, DMType *type)
4090: {
4091: PetscFunctionBegin;
4093: PetscAssertPointer(type, 2);
4094: PetscCall(DMRegisterAll());
4095: *type = ((PetscObject)dm)->type_name;
4096: PetscFunctionReturn(PETSC_SUCCESS);
4097: }
4099: /*@
4100: DMConvert - Converts a `DM` to another `DM`, either of the same or different type.
4102: Collective
4104: Input Parameters:
4105: + dm - the `DM`
4106: - newtype - new `DM` type (use "same" for the same type)
4108: Output Parameter:
4109: . M - pointer to new `DM`
4111: Level: intermediate
4113: Note:
4114: Cannot be used to convert a sequential `DM` to a parallel or a parallel to sequential,
4115: the MPI communicator of the generated `DM` is always the same as the communicator
4116: of the input `DM`.
4118: .seealso: [](ch_dmbase), `DM`, `DMSetType()`, `DMCreate()`, `DMClone()`
4119: @*/
4120: PetscErrorCode DMConvert(DM dm, DMType newtype, DM *M)
4121: {
4122: DM B;
4123: char convname[256];
4124: PetscBool sametype /*, issame */;
4126: PetscFunctionBegin;
4129: PetscAssertPointer(M, 3);
4130: PetscCall(PetscObjectTypeCompare((PetscObject)dm, newtype, &sametype));
4131: /* PetscCall(PetscStrcmp(newtype, "same", &issame)); */
4132: if (sametype) {
4133: *M = dm;
4134: PetscCall(PetscObjectReference((PetscObject)dm));
4135: PetscFunctionReturn(PETSC_SUCCESS);
4136: } else {
4137: PetscErrorCode (*conv)(DM, DMType, DM *) = NULL;
4139: /*
4140: Order of precedence:
4141: 1) See if a specialized converter is known to the current DM.
4142: 2) See if a specialized converter is known to the desired DM class.
4143: 3) See if a good general converter is registered for the desired class
4144: 4) See if a good general converter is known for the current matrix.
4145: 5) Use a really basic converter.
4146: */
4148: /* 1) See if a specialized converter is known to the current DM and the desired class */
4149: PetscCall(PetscStrncpy(convname, "DMConvert_", sizeof(convname)));
4150: PetscCall(PetscStrlcat(convname, ((PetscObject)dm)->type_name, sizeof(convname)));
4151: PetscCall(PetscStrlcat(convname, "_", sizeof(convname)));
4152: PetscCall(PetscStrlcat(convname, newtype, sizeof(convname)));
4153: PetscCall(PetscStrlcat(convname, "_C", sizeof(convname)));
4154: PetscCall(PetscObjectQueryFunction((PetscObject)dm, convname, &conv));
4155: if (conv) goto foundconv;
4157: /* 2) See if a specialized converter is known to the desired DM class. */
4158: PetscCall(DMCreate(PetscObjectComm((PetscObject)dm), &B));
4159: PetscCall(DMSetType(B, newtype));
4160: PetscCall(PetscStrncpy(convname, "DMConvert_", sizeof(convname)));
4161: PetscCall(PetscStrlcat(convname, ((PetscObject)dm)->type_name, sizeof(convname)));
4162: PetscCall(PetscStrlcat(convname, "_", sizeof(convname)));
4163: PetscCall(PetscStrlcat(convname, newtype, sizeof(convname)));
4164: PetscCall(PetscStrlcat(convname, "_C", sizeof(convname)));
4165: PetscCall(PetscObjectQueryFunction((PetscObject)B, convname, &conv));
4166: if (conv) {
4167: PetscCall(DMDestroy(&B));
4168: goto foundconv;
4169: }
4171: #if 0
4172: /* 3) See if a good general converter is registered for the desired class */
4173: conv = B->ops->convertfrom;
4174: PetscCall(DMDestroy(&B));
4175: if (conv) goto foundconv;
4177: /* 4) See if a good general converter is known for the current matrix */
4178: if (dm->ops->convert) conv = dm->ops->convert;
4179: if (conv) goto foundconv;
4180: #endif
4182: /* 5) Use a really basic converter. */
4183: SETERRQ(PetscObjectComm((PetscObject)dm), PETSC_ERR_SUP, "No conversion possible between DM types %s and %s", ((PetscObject)dm)->type_name, newtype);
4185: foundconv:
4186: PetscCall(PetscLogEventBegin(DM_Convert, dm, 0, 0, 0));
4187: PetscCall((*conv)(dm, newtype, M));
4188: /* Things that are independent of DM type: We should consult DMClone() here */
4189: {
4190: const PetscReal *maxCell, *Lstart, *L;
4192: PetscCall(DMGetPeriodicity(dm, &maxCell, &Lstart, &L));
4193: PetscCall(DMSetPeriodicity(*M, maxCell, Lstart, L));
4194: (*M)->prealloc_only = dm->prealloc_only;
4195: PetscCall(PetscFree((*M)->vectype));
4196: PetscCall(PetscStrallocpy(dm->vectype, (char **)&(*M)->vectype));
4197: PetscCall(PetscFree((*M)->mattype));
4198: PetscCall(PetscStrallocpy(dm->mattype, (char **)&(*M)->mattype));
4199: }
4200: PetscCall(PetscLogEventEnd(DM_Convert, dm, 0, 0, 0));
4201: }
4202: PetscCall(PetscObjectStateIncrease((PetscObject)*M));
4203: PetscFunctionReturn(PETSC_SUCCESS);
4204: }
4206: /*@C
4207: DMRegister - Adds a new `DM` type implementation
4209: Not Collective, No Fortran Support
4211: Input Parameters:
4212: + sname - The name of a new user-defined creation routine
4213: - function - The creation routine itself
4215: Calling sequence of function:
4216: . dm - the new `DM` that is being created
4218: Level: advanced
4220: Note:
4221: `DMRegister()` may be called multiple times to add several user-defined `DM`s
4223: Example Usage:
4224: .vb
4225: DMRegister("my_da", MyDMCreate);
4226: .ve
4228: Then, your `DM` type can be chosen with the procedural interface via
4229: .vb
4230: DMCreate(MPI_Comm, DM *);
4231: DMSetType(DM,"my_da");
4232: .ve
4233: or at runtime via the option
4234: .vb
4235: -da_type my_da
4236: .ve
4238: .seealso: [](ch_dmbase), `DM`, `DMType`, `DMSetType()`, `DMRegisterAll()`, `DMRegisterDestroy()`
4239: @*/
4240: PetscErrorCode DMRegister(const char sname[], PetscErrorCode (*function)(DM dm))
4241: {
4242: PetscFunctionBegin;
4243: PetscCall(DMInitializePackage());
4244: PetscCall(PetscFunctionListAdd(&DMList, sname, function));
4245: PetscFunctionReturn(PETSC_SUCCESS);
4246: }
4248: /*@
4249: DMLoad - Loads a DM that has been stored in binary with `DMView()`.
4251: Collective
4253: Input Parameters:
4254: + newdm - the newly loaded `DM`, this needs to have been created with `DMCreate()` or
4255: some related function before a call to `DMLoad()`.
4256: - viewer - binary file viewer, obtained from `PetscViewerBinaryOpen()` or
4257: `PETSCVIEWERHDF5` file viewer, obtained from `PetscViewerHDF5Open()`
4259: Level: intermediate
4261: Notes:
4262: The type is determined by the data in the file, any type set into the DM before this call is ignored.
4264: Using `PETSCVIEWERHDF5` type with `PETSC_VIEWER_HDF5_PETSC` format, one can save multiple `DMPLEX`
4265: meshes in a single HDF5 file. This in turn requires one to name the `DMPLEX` object with `PetscObjectSetName()`
4266: before saving it with `DMView()` and before loading it with `DMLoad()` for identification of the mesh object.
4268: .seealso: [](ch_dmbase), `DM`, `PetscViewerBinaryOpen()`, `DMView()`, `MatLoad()`, `VecLoad()`
4269: @*/
4270: PetscErrorCode DMLoad(DM newdm, PetscViewer viewer)
4271: {
4272: PetscBool isbinary, ishdf5;
4274: PetscFunctionBegin;
4277: PetscCall(PetscViewerCheckReadable(viewer));
4278: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary));
4279: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERHDF5, &ishdf5));
4280: PetscCall(PetscLogEventBegin(DM_Load, viewer, 0, 0, 0));
4281: if (isbinary) {
4282: PetscInt classid;
4283: char type[256];
4285: PetscCall(PetscViewerBinaryRead(viewer, &classid, 1, NULL, PETSC_INT));
4286: PetscCheck(classid == DM_FILE_CLASSID, PetscObjectComm((PetscObject)newdm), PETSC_ERR_ARG_WRONG, "Not DM next in file, classid found %" PetscInt_FMT, classid);
4287: PetscCall(PetscViewerBinaryRead(viewer, type, 256, NULL, PETSC_CHAR));
4288: PetscCall(DMSetType(newdm, type));
4289: PetscTryTypeMethod(newdm, load, viewer);
4290: } else if (ishdf5) {
4291: PetscTryTypeMethod(newdm, load, viewer);
4292: } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Invalid viewer; open viewer with PetscViewerBinaryOpen() or PetscViewerHDF5Open()");
4293: PetscCall(PetscLogEventEnd(DM_Load, viewer, 0, 0, 0));
4294: PetscFunctionReturn(PETSC_SUCCESS);
4295: }
4297: /* FEM Support */
4299: PetscErrorCode DMPrintCellIndices(PetscInt c, const char name[], PetscInt len, const PetscInt x[])
4300: {
4301: PetscInt f;
4303: PetscFunctionBegin;
4304: PetscCall(PetscPrintf(PETSC_COMM_SELF, "Cell %" PetscInt_FMT " Element %s\n", c, name));
4305: for (f = 0; f < len; ++f) PetscCall(PetscPrintf(PETSC_COMM_SELF, " | %" PetscInt_FMT " |\n", x[f]));
4306: PetscFunctionReturn(PETSC_SUCCESS);
4307: }
4309: PetscErrorCode DMPrintCellVector(PetscInt c, const char name[], PetscInt len, const PetscScalar x[])
4310: {
4311: PetscInt f;
4313: PetscFunctionBegin;
4314: PetscCall(PetscPrintf(PETSC_COMM_SELF, "Cell %" PetscInt_FMT " Element %s\n", c, name));
4315: for (f = 0; f < len; ++f) PetscCall(PetscPrintf(PETSC_COMM_SELF, " | %g |\n", (double)PetscRealPart(x[f])));
4316: PetscFunctionReturn(PETSC_SUCCESS);
4317: }
4319: PetscErrorCode DMPrintCellVectorReal(PetscInt c, const char name[], PetscInt len, const PetscReal x[])
4320: {
4321: PetscInt f;
4323: PetscFunctionBegin;
4324: PetscCall(PetscPrintf(PETSC_COMM_SELF, "Cell %" PetscInt_FMT " Element %s\n", c, name));
4325: for (f = 0; f < len; ++f) PetscCall(PetscPrintf(PETSC_COMM_SELF, " | %g |\n", (double)x[f]));
4326: PetscFunctionReturn(PETSC_SUCCESS);
4327: }
4329: PetscErrorCode DMPrintCellMatrix(PetscInt c, const char name[], PetscInt rows, PetscInt cols, const PetscScalar A[])
4330: {
4331: PetscInt f, g;
4333: PetscFunctionBegin;
4334: PetscCall(PetscPrintf(PETSC_COMM_SELF, "Cell %" PetscInt_FMT " Element %s\n", c, name));
4335: for (f = 0; f < rows; ++f) {
4336: PetscCall(PetscPrintf(PETSC_COMM_SELF, " |"));
4337: for (g = 0; g < cols; ++g) PetscCall(PetscPrintf(PETSC_COMM_SELF, " % 9.5g", (double)PetscRealPart(A[f * cols + g])));
4338: PetscCall(PetscPrintf(PETSC_COMM_SELF, " |\n"));
4339: }
4340: PetscFunctionReturn(PETSC_SUCCESS);
4341: }
4343: PetscErrorCode DMPrintLocalVec(DM dm, const char name[], PetscReal tol, Vec X)
4344: {
4345: PetscInt localSize, bs;
4346: PetscMPIInt size;
4347: Vec x, xglob;
4348: const PetscScalar *xarray;
4350: PetscFunctionBegin;
4351: PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)dm), &size));
4352: PetscCall(VecDuplicate(X, &x));
4353: PetscCall(VecCopy(X, x));
4354: PetscCall(VecFilter(x, tol));
4355: PetscCall(PetscPrintf(PetscObjectComm((PetscObject)dm), "%s:\n", name));
4356: if (size > 1) {
4357: PetscCall(VecGetLocalSize(x, &localSize));
4358: PetscCall(VecGetArrayRead(x, &xarray));
4359: PetscCall(VecGetBlockSize(x, &bs));
4360: PetscCall(VecCreateMPIWithArray(PetscObjectComm((PetscObject)dm), bs, localSize, PETSC_DETERMINE, xarray, &xglob));
4361: } else {
4362: xglob = x;
4363: }
4364: PetscCall(VecView(xglob, PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)dm))));
4365: if (size > 1) {
4366: PetscCall(VecDestroy(&xglob));
4367: PetscCall(VecRestoreArrayRead(x, &xarray));
4368: }
4369: PetscCall(VecDestroy(&x));
4370: PetscFunctionReturn(PETSC_SUCCESS);
4371: }
4373: /*@
4374: DMGetLocalSection - Get the `PetscSection` encoding the local data layout for the `DM`.
4376: Input Parameter:
4377: . dm - The `DM`
4379: Output Parameter:
4380: . section - The `PetscSection`
4382: Options Database Key:
4383: . -dm_petscsection_view - View the section created by the `DM`
4385: Level: intermediate
4387: Note:
4388: This gets a borrowed reference, so the user should not destroy this `PetscSection`.
4390: .seealso: [](ch_dmbase), `DM`, `DMSetLocalSection()`, `DMGetGlobalSection()`
4391: @*/
4392: PetscErrorCode DMGetLocalSection(DM dm, PetscSection *section)
4393: {
4394: PetscFunctionBegin;
4396: PetscAssertPointer(section, 2);
4397: if (!dm->localSection && dm->ops->createlocalsection) {
4398: PetscInt d;
4400: if (dm->setfromoptionscalled) {
4401: PetscObject obj = (PetscObject)dm;
4402: PetscViewer viewer;
4403: PetscViewerFormat format;
4404: PetscBool flg;
4406: PetscCall(PetscOptionsCreateViewer(PetscObjectComm(obj), obj->options, obj->prefix, "-dm_petscds_view", &viewer, &format, &flg));
4407: if (flg) PetscCall(PetscViewerPushFormat(viewer, format));
4408: for (d = 0; d < dm->Nds; ++d) {
4409: PetscCall(PetscDSSetFromOptions(dm->probs[d].ds));
4410: if (flg) PetscCall(PetscDSView(dm->probs[d].ds, viewer));
4411: }
4412: if (flg) {
4413: PetscCall(PetscViewerFlush(viewer));
4414: PetscCall(PetscViewerPopFormat(viewer));
4415: PetscCall(PetscViewerDestroy(&viewer));
4416: }
4417: }
4418: PetscUseTypeMethod(dm, createlocalsection);
4419: if (dm->localSection) PetscCall(PetscObjectViewFromOptions((PetscObject)dm->localSection, NULL, "-dm_petscsection_view"));
4420: }
4421: *section = dm->localSection;
4422: PetscFunctionReturn(PETSC_SUCCESS);
4423: }
4425: /*@
4426: DMSetLocalSection - Set the `PetscSection` encoding the local data layout for the `DM`.
4428: Input Parameters:
4429: + dm - The `DM`
4430: - section - The `PetscSection`
4432: Level: intermediate
4434: Note:
4435: Any existing Section will be destroyed
4437: .seealso: [](ch_dmbase), `DM`, `PetscSection`, `DMGetLocalSection()`, `DMSetGlobalSection()`
4438: @*/
4439: PetscErrorCode DMSetLocalSection(DM dm, PetscSection section)
4440: {
4441: PetscInt numFields = 0;
4442: PetscInt f;
4444: PetscFunctionBegin;
4447: PetscCall(PetscObjectReference((PetscObject)section));
4448: PetscCall(PetscSectionDestroy(&dm->localSection));
4449: dm->localSection = section;
4450: if (section) PetscCall(PetscSectionGetNumFields(dm->localSection, &numFields));
4451: if (numFields) {
4452: PetscCall(DMSetNumFields(dm, numFields));
4453: for (f = 0; f < numFields; ++f) {
4454: PetscObject disc;
4455: const char *name;
4457: PetscCall(PetscSectionGetFieldName(dm->localSection, f, &name));
4458: PetscCall(DMGetField(dm, f, NULL, &disc));
4459: PetscCall(PetscObjectSetName(disc, name));
4460: }
4461: }
4462: /* The global section and the SectionSF will be rebuilt
4463: in the next call to DMGetGlobalSection() and DMGetSectionSF(). */
4464: PetscCall(PetscSectionDestroy(&dm->globalSection));
4465: PetscCall(PetscSFDestroy(&dm->sectionSF));
4466: PetscCall(PetscSFCreate(PetscObjectComm((PetscObject)dm), &dm->sectionSF));
4468: /* Clear scratch vectors */
4469: PetscCall(DMClearGlobalVectors(dm));
4470: PetscCall(DMClearLocalVectors(dm));
4471: PetscCall(DMClearNamedGlobalVectors(dm));
4472: PetscCall(DMClearNamedLocalVectors(dm));
4473: PetscFunctionReturn(PETSC_SUCCESS);
4474: }
4476: /*@C
4477: DMCreateSectionPermutation - Create a permutation of the `PetscSection` chart and optionally a block structure.
4479: Input Parameter:
4480: . dm - The `DM`
4482: Output Parameters:
4483: + perm - A permutation of the mesh points in the chart
4484: - blockStarts - A high bit is set for the point that begins every block, or `NULL` for default blocking
4486: Level: developer
4488: .seealso: [](ch_dmbase), `DM`, `PetscSection`, `DMGetLocalSection()`, `DMGetGlobalSection()`
4489: @*/
4490: PetscErrorCode DMCreateSectionPermutation(DM dm, IS *perm, PetscBT *blockStarts)
4491: {
4492: PetscFunctionBegin;
4493: *perm = NULL;
4494: *blockStarts = NULL;
4495: PetscTryTypeMethod(dm, createsectionpermutation, perm, blockStarts);
4496: PetscFunctionReturn(PETSC_SUCCESS);
4497: }
4499: /*@
4500: DMGetDefaultConstraints - Get the `PetscSection` and `Mat` that specify the local constraint interpolation. See `DMSetDefaultConstraints()` for a description of the purpose of constraint interpolation.
4502: not Collective
4504: Input Parameter:
4505: . dm - The `DM`
4507: Output Parameters:
4508: + section - The `PetscSection` describing the range of the constraint matrix: relates rows of the constraint matrix to dofs of the default section. Returns `NULL` if there are no local constraints.
4509: . mat - The `Mat` that interpolates local constraints: its width should be the layout size of the default section. Returns `NULL` if there are no local constraints.
4510: - bias - Vector containing bias to be added to constrained dofs
4512: Level: advanced
4514: Note:
4515: This gets borrowed references, so the user should not destroy the `PetscSection`, `Mat`, or `Vec`.
4517: .seealso: [](ch_dmbase), `DM`, `DMSetDefaultConstraints()`
4518: @*/
4519: PetscErrorCode DMGetDefaultConstraints(DM dm, PetscSection *section, Mat *mat, Vec *bias)
4520: {
4521: PetscFunctionBegin;
4523: if (!dm->defaultConstraint.section && !dm->defaultConstraint.mat && dm->ops->createdefaultconstraints) PetscUseTypeMethod(dm, createdefaultconstraints);
4524: if (section) *section = dm->defaultConstraint.section;
4525: if (mat) *mat = dm->defaultConstraint.mat;
4526: if (bias) *bias = dm->defaultConstraint.bias;
4527: PetscFunctionReturn(PETSC_SUCCESS);
4528: }
4530: /*@
4531: DMSetDefaultConstraints - Set the `PetscSection` and `Mat` that specify the local constraint interpolation.
4533: Collective
4535: Input Parameters:
4536: + dm - The `DM`
4537: . section - The `PetscSection` describing the range of the constraint matrix: relates rows of the constraint matrix to dofs of the default section. Must have a local communicator (`PETSC_COMM_SELF` or derivative).
4538: . mat - The `Mat` that interpolates local constraints: its width should be the layout size of the default section: `NULL` indicates no constraints. Must have a local communicator (`PETSC_COMM_SELF` or derivative).
4539: - bias - A bias vector to be added to constrained values in the local vector. `NULL` indicates no bias. Must have a local communicator (`PETSC_COMM_SELF` or derivative).
4541: Level: advanced
4543: Notes:
4544: If a constraint matrix is specified, then it is applied during `DMGlobalToLocalEnd()` when mode is `INSERT_VALUES`, `INSERT_BC_VALUES`, or `INSERT_ALL_VALUES`. Without a constraint matrix, the local vector l returned by `DMGlobalToLocalEnd()` contains values that have been scattered from a global vector without modification; with a constraint matrix A, l is modified by computing c = A * l + bias, l[s[i]] = c[i], where the scatter s is defined by the `PetscSection` returned by `DMGetDefaultConstraints()`.
4546: If a constraint matrix is specified, then its adjoint is applied during `DMLocalToGlobalBegin()` when mode is `ADD_VALUES`, `ADD_BC_VALUES`, or `ADD_ALL_VALUES`. Without a constraint matrix, the local vector l is accumulated into a global vector without modification; with a constraint matrix A, l is first modified by computing c[i] = l[s[i]], l[s[i]] = 0, l = l + A'*c, which is the adjoint of the operation described above. Any bias, if specified, is ignored when accumulating.
4548: This increments the references of the `PetscSection`, `Mat`, and `Vec`, so they user can destroy them.
4550: .seealso: [](ch_dmbase), `DM`, `DMGetDefaultConstraints()`
4551: @*/
4552: PetscErrorCode DMSetDefaultConstraints(DM dm, PetscSection section, Mat mat, Vec bias)
4553: {
4554: PetscMPIInt result;
4556: PetscFunctionBegin;
4558: if (section) {
4560: PetscCallMPI(MPI_Comm_compare(PETSC_COMM_SELF, PetscObjectComm((PetscObject)section), &result));
4561: PetscCheck(result == MPI_CONGRUENT || result == MPI_IDENT, PETSC_COMM_SELF, PETSC_ERR_ARG_NOTSAMECOMM, "constraint section must have local communicator");
4562: }
4563: if (mat) {
4565: PetscCallMPI(MPI_Comm_compare(PETSC_COMM_SELF, PetscObjectComm((PetscObject)mat), &result));
4566: PetscCheck(result == MPI_CONGRUENT || result == MPI_IDENT, PETSC_COMM_SELF, PETSC_ERR_ARG_NOTSAMECOMM, "constraint matrix must have local communicator");
4567: }
4568: if (bias) {
4570: PetscCallMPI(MPI_Comm_compare(PETSC_COMM_SELF, PetscObjectComm((PetscObject)bias), &result));
4571: PetscCheck(result == MPI_CONGRUENT || result == MPI_IDENT, PETSC_COMM_SELF, PETSC_ERR_ARG_NOTSAMECOMM, "constraint bias must have local communicator");
4572: }
4573: PetscCall(PetscObjectReference((PetscObject)section));
4574: PetscCall(PetscSectionDestroy(&dm->defaultConstraint.section));
4575: dm->defaultConstraint.section = section;
4576: PetscCall(PetscObjectReference((PetscObject)mat));
4577: PetscCall(MatDestroy(&dm->defaultConstraint.mat));
4578: dm->defaultConstraint.mat = mat;
4579: PetscCall(PetscObjectReference((PetscObject)bias));
4580: PetscCall(VecDestroy(&dm->defaultConstraint.bias));
4581: dm->defaultConstraint.bias = bias;
4582: PetscFunctionReturn(PETSC_SUCCESS);
4583: }
4585: #if defined(PETSC_USE_DEBUG)
4586: /*
4587: DMDefaultSectionCheckConsistency - Check the consistentcy of the global and local sections. Generates and error if they are not consistent.
4589: Input Parameters:
4590: + dm - The `DM`
4591: . localSection - `PetscSection` describing the local data layout
4592: - globalSection - `PetscSection` describing the global data layout
4594: Level: intermediate
4596: .seealso: [](ch_dmbase), `DM`, `DMGetSectionSF()`, `DMSetSectionSF()`
4597: */
4598: static PetscErrorCode DMDefaultSectionCheckConsistency_Internal(DM dm, PetscSection localSection, PetscSection globalSection)
4599: {
4600: MPI_Comm comm;
4601: PetscLayout layout;
4602: const PetscInt *ranges;
4603: PetscInt pStart, pEnd, p, nroots;
4604: PetscMPIInt size, rank;
4605: PetscBool valid = PETSC_TRUE, gvalid;
4607: PetscFunctionBegin;
4608: PetscCall(PetscObjectGetComm((PetscObject)dm, &comm));
4610: PetscCallMPI(MPI_Comm_size(comm, &size));
4611: PetscCallMPI(MPI_Comm_rank(comm, &rank));
4612: PetscCall(PetscSectionGetChart(globalSection, &pStart, &pEnd));
4613: PetscCall(PetscSectionGetConstrainedStorageSize(globalSection, &nroots));
4614: PetscCall(PetscLayoutCreate(comm, &layout));
4615: PetscCall(PetscLayoutSetBlockSize(layout, 1));
4616: PetscCall(PetscLayoutSetLocalSize(layout, nroots));
4617: PetscCall(PetscLayoutSetUp(layout));
4618: PetscCall(PetscLayoutGetRanges(layout, &ranges));
4619: for (p = pStart; p < pEnd; ++p) {
4620: PetscInt dof, cdof, off, gdof, gcdof, goff, gsize, d;
4622: PetscCall(PetscSectionGetDof(localSection, p, &dof));
4623: PetscCall(PetscSectionGetOffset(localSection, p, &off));
4624: PetscCall(PetscSectionGetConstraintDof(localSection, p, &cdof));
4625: PetscCall(PetscSectionGetDof(globalSection, p, &gdof));
4626: PetscCall(PetscSectionGetConstraintDof(globalSection, p, &gcdof));
4627: PetscCall(PetscSectionGetOffset(globalSection, p, &goff));
4628: if (!gdof) continue; /* Censored point */
4629: if ((gdof < 0 ? -(gdof + 1) : gdof) != dof) {
4630: PetscCall(PetscSynchronizedPrintf(comm, "[%d]Global dof %" PetscInt_FMT " for point %" PetscInt_FMT " not equal to local dof %" PetscInt_FMT "\n", rank, gdof, p, dof));
4631: valid = PETSC_FALSE;
4632: }
4633: if (gcdof && (gcdof != cdof)) {
4634: PetscCall(PetscSynchronizedPrintf(comm, "[%d]Global constraints %" PetscInt_FMT " for point %" PetscInt_FMT " not equal to local constraints %" PetscInt_FMT "\n", rank, gcdof, p, cdof));
4635: valid = PETSC_FALSE;
4636: }
4637: if (gdof < 0) {
4638: gsize = gdof < 0 ? -(gdof + 1) - gcdof : gdof - gcdof;
4639: for (d = 0; d < gsize; ++d) {
4640: PetscInt offset = -(goff + 1) + d, r;
4642: PetscCall(PetscFindInt(offset, size + 1, ranges, &r));
4643: if (r < 0) r = -(r + 2);
4644: if ((r < 0) || (r >= size)) {
4645: PetscCall(PetscSynchronizedPrintf(comm, "[%d]Point %" PetscInt_FMT " mapped to invalid process %" PetscInt_FMT " (%" PetscInt_FMT ", %" PetscInt_FMT ")\n", rank, p, r, gdof, goff));
4646: valid = PETSC_FALSE;
4647: break;
4648: }
4649: }
4650: }
4651: }
4652: PetscCall(PetscLayoutDestroy(&layout));
4653: PetscCall(PetscSynchronizedFlush(comm, NULL));
4654: PetscCallMPI(MPIU_Allreduce(&valid, &gvalid, 1, MPI_C_BOOL, MPI_LAND, comm));
4655: if (!gvalid) {
4656: PetscCall(DMView(dm, NULL));
4657: SETERRQ(comm, PETSC_ERR_ARG_WRONG, "Inconsistent local and global sections");
4658: }
4659: PetscFunctionReturn(PETSC_SUCCESS);
4660: }
4661: #endif
4663: PetscErrorCode DMGetIsoperiodicPointSF_Internal(DM dm, PetscSF *sf)
4664: {
4665: PetscErrorCode (*f)(DM, PetscSF *);
4667: PetscFunctionBegin;
4669: PetscAssertPointer(sf, 2);
4670: PetscCall(PetscObjectQueryFunction((PetscObject)dm, "DMGetIsoperiodicPointSF_C", &f));
4671: if (f) PetscCall(f(dm, sf));
4672: else *sf = dm->sf;
4673: PetscFunctionReturn(PETSC_SUCCESS);
4674: }
4676: /*@
4677: DMGetGlobalSection - Get the `PetscSection` encoding the global data layout for the `DM`.
4679: Collective
4681: Input Parameter:
4682: . dm - The `DM`
4684: Output Parameter:
4685: . section - The `PetscSection`
4687: Level: intermediate
4689: Note:
4690: This gets a borrowed reference, so the user should not destroy this `PetscSection`.
4692: .seealso: [](ch_dmbase), `DM`, `DMSetLocalSection()`, `DMGetLocalSection()`
4693: @*/
4694: PetscErrorCode DMGetGlobalSection(DM dm, PetscSection *section)
4695: {
4696: PetscFunctionBegin;
4698: PetscAssertPointer(section, 2);
4699: if (!dm->globalSection) {
4700: PetscSection s;
4701: PetscSF sf;
4703: PetscCall(DMGetLocalSection(dm, &s));
4704: PetscCheck(s, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONGSTATE, "DM must have a default PetscSection in order to create a global PetscSection");
4705: PetscCheck(dm->sf, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONGSTATE, "DM must have a point PetscSF in order to create a global PetscSection");
4706: PetscCall(DMGetIsoperiodicPointSF_Internal(dm, &sf));
4707: PetscCall(PetscSectionCreateGlobalSection(s, sf, PETSC_TRUE, PETSC_FALSE, PETSC_FALSE, &dm->globalSection));
4708: PetscCall(PetscLayoutDestroy(&dm->map));
4709: PetscCall(PetscSectionGetValueLayout(PetscObjectComm((PetscObject)dm), dm->globalSection, &dm->map));
4710: PetscCall(PetscSectionViewFromOptions(dm->globalSection, NULL, "-global_section_view"));
4711: }
4712: *section = dm->globalSection;
4713: PetscFunctionReturn(PETSC_SUCCESS);
4714: }
4716: /*@
4717: DMSetGlobalSection - Set the `PetscSection` encoding the global data layout for the `DM`.
4719: Input Parameters:
4720: + dm - The `DM`
4721: - section - The PetscSection, or `NULL`
4723: Level: intermediate
4725: Note:
4726: Any existing `PetscSection` will be destroyed
4728: .seealso: [](ch_dmbase), `DM`, `DMGetGlobalSection()`, `DMSetLocalSection()`
4729: @*/
4730: PetscErrorCode DMSetGlobalSection(DM dm, PetscSection section)
4731: {
4732: PetscFunctionBegin;
4735: PetscCall(PetscObjectReference((PetscObject)section));
4736: PetscCall(PetscSectionDestroy(&dm->globalSection));
4737: dm->globalSection = section;
4738: #if defined(PETSC_USE_DEBUG)
4739: if (section) PetscCall(DMDefaultSectionCheckConsistency_Internal(dm, dm->localSection, section));
4740: #endif
4741: /* Clear global scratch vectors and sectionSF */
4742: PetscCall(PetscSFDestroy(&dm->sectionSF));
4743: PetscCall(PetscSFCreate(PetscObjectComm((PetscObject)dm), &dm->sectionSF));
4744: PetscCall(DMClearGlobalVectors(dm));
4745: PetscCall(DMClearNamedGlobalVectors(dm));
4746: PetscFunctionReturn(PETSC_SUCCESS);
4747: }
4749: /*@
4750: DMGetSectionSF - Get the `PetscSF` encoding the parallel dof overlap for the `DM`. If it has not been set,
4751: it is created from the default `PetscSection` layouts in the `DM`.
4753: Input Parameter:
4754: . dm - The `DM`
4756: Output Parameter:
4757: . sf - The `PetscSF`
4759: Level: intermediate
4761: Note:
4762: This gets a borrowed reference, so the user should not destroy this `PetscSF`.
4764: .seealso: [](ch_dmbase), `DM`, `DMSetSectionSF()`, `DMCreateSectionSF()`
4765: @*/
4766: PetscErrorCode DMGetSectionSF(DM dm, PetscSF *sf)
4767: {
4768: PetscInt nroots;
4770: PetscFunctionBegin;
4772: PetscAssertPointer(sf, 2);
4773: if (!dm->sectionSF) PetscCall(PetscSFCreate(PetscObjectComm((PetscObject)dm), &dm->sectionSF));
4774: PetscCall(PetscSFGetGraph(dm->sectionSF, &nroots, NULL, NULL, NULL));
4775: if (nroots < 0) {
4776: PetscSection section, gSection;
4778: PetscCall(DMGetLocalSection(dm, §ion));
4779: if (section) {
4780: PetscCall(DMGetGlobalSection(dm, &gSection));
4781: PetscCall(DMCreateSectionSF(dm, section, gSection));
4782: } else {
4783: *sf = NULL;
4784: PetscFunctionReturn(PETSC_SUCCESS);
4785: }
4786: }
4787: *sf = dm->sectionSF;
4788: PetscFunctionReturn(PETSC_SUCCESS);
4789: }
4791: /*@
4792: DMSetSectionSF - Set the `PetscSF` encoding the parallel dof overlap for the `DM`
4794: Input Parameters:
4795: + dm - The `DM`
4796: - sf - The `PetscSF`
4798: Level: intermediate
4800: Note:
4801: Any previous `PetscSF` is destroyed
4803: .seealso: [](ch_dmbase), `DM`, `DMGetSectionSF()`, `DMCreateSectionSF()`
4804: @*/
4805: PetscErrorCode DMSetSectionSF(DM dm, PetscSF sf)
4806: {
4807: PetscFunctionBegin;
4810: PetscCall(PetscObjectReference((PetscObject)sf));
4811: PetscCall(PetscSFDestroy(&dm->sectionSF));
4812: dm->sectionSF = sf;
4813: PetscFunctionReturn(PETSC_SUCCESS);
4814: }
4816: /*@
4817: DMCreateSectionSF - Create the `PetscSF` encoding the parallel dof overlap for the `DM` based upon the `PetscSection`s
4818: describing the data layout.
4820: Input Parameters:
4821: + dm - The `DM`
4822: . localSection - `PetscSection` describing the local data layout
4823: - globalSection - `PetscSection` describing the global data layout
4825: Level: developer
4827: Note:
4828: One usually uses `DMGetSectionSF()` to obtain the `PetscSF`
4830: Developer Note:
4831: Since this routine has for arguments the two sections from the `DM` and puts the resulting `PetscSF`
4832: directly into the `DM`, perhaps this function should not take the local and global sections as
4833: input and should just obtain them from the `DM`? Plus PETSc creation functions return the thing
4834: they create, this returns nothing
4836: .seealso: [](ch_dmbase), `DM`, `DMGetSectionSF()`, `DMSetSectionSF()`, `DMGetLocalSection()`, `DMGetGlobalSection()`
4837: @*/
4838: PetscErrorCode DMCreateSectionSF(DM dm, PetscSection localSection, PetscSection globalSection)
4839: {
4840: PetscFunctionBegin;
4842: PetscCall(PetscSFSetGraphSection(dm->sectionSF, localSection, globalSection));
4843: PetscFunctionReturn(PETSC_SUCCESS);
4844: }
4846: /*@
4847: DMGetPointSF - Get the `PetscSF` encoding the parallel section point overlap for the `DM`.
4849: Not collective but the resulting `PetscSF` is collective
4851: Input Parameter:
4852: . dm - The `DM`
4854: Output Parameter:
4855: . sf - The `PetscSF`
4857: Level: intermediate
4859: Note:
4860: This gets a borrowed reference, so the user should not destroy this `PetscSF`.
4862: .seealso: [](ch_dmbase), `DM`, `DMSetPointSF()`, `DMGetSectionSF()`, `DMSetSectionSF()`, `DMCreateSectionSF()`
4863: @*/
4864: PetscErrorCode DMGetPointSF(DM dm, PetscSF *sf)
4865: {
4866: PetscFunctionBegin;
4868: PetscAssertPointer(sf, 2);
4869: *sf = dm->sf;
4870: PetscFunctionReturn(PETSC_SUCCESS);
4871: }
4873: /*@
4874: DMSetPointSF - Set the `PetscSF` encoding the parallel section point overlap for the `DM`.
4876: Collective
4878: Input Parameters:
4879: + dm - The `DM`
4880: - sf - The `PetscSF`
4882: Level: intermediate
4884: .seealso: [](ch_dmbase), `DM`, `DMGetPointSF()`, `DMGetSectionSF()`, `DMSetSectionSF()`, `DMCreateSectionSF()`
4885: @*/
4886: PetscErrorCode DMSetPointSF(DM dm, PetscSF sf)
4887: {
4888: PetscFunctionBegin;
4891: PetscCall(PetscObjectReference((PetscObject)sf));
4892: PetscCall(PetscSFDestroy(&dm->sf));
4893: dm->sf = sf;
4894: PetscFunctionReturn(PETSC_SUCCESS);
4895: }
4897: /*@
4898: DMGetNaturalSF - Get the `PetscSF` encoding the map back to the original mesh ordering
4900: Input Parameter:
4901: . dm - The `DM`
4903: Output Parameter:
4904: . sf - The `PetscSF`
4906: Level: intermediate
4908: Note:
4909: This gets a borrowed reference, so the user should not destroy this `PetscSF`.
4911: .seealso: [](ch_dmbase), `DM`, `DMSetNaturalSF()`, `DMSetUseNatural()`, `DMGetUseNatural()`, `DMPlexCreateGlobalToNaturalSF()`, `DMPlexDistribute()`
4912: @*/
4913: PetscErrorCode DMGetNaturalSF(DM dm, PetscSF *sf)
4914: {
4915: PetscFunctionBegin;
4917: PetscAssertPointer(sf, 2);
4918: *sf = dm->sfNatural;
4919: PetscFunctionReturn(PETSC_SUCCESS);
4920: }
4922: /*@
4923: DMSetNaturalSF - Set the PetscSF encoding the map back to the original mesh ordering
4925: Input Parameters:
4926: + dm - The DM
4927: - sf - The PetscSF
4929: Level: intermediate
4931: .seealso: [](ch_dmbase), `DM`, `DMGetNaturalSF()`, `DMSetUseNatural()`, `DMGetUseNatural()`, `DMPlexCreateGlobalToNaturalSF()`, `DMPlexDistribute()`
4932: @*/
4933: PetscErrorCode DMSetNaturalSF(DM dm, PetscSF sf)
4934: {
4935: PetscFunctionBegin;
4938: PetscCall(PetscObjectReference((PetscObject)sf));
4939: PetscCall(PetscSFDestroy(&dm->sfNatural));
4940: dm->sfNatural = sf;
4941: PetscFunctionReturn(PETSC_SUCCESS);
4942: }
4944: static PetscErrorCode DMSetDefaultAdjacency_Private(DM dm, PetscInt f, PetscObject disc)
4945: {
4946: PetscClassId id;
4948: PetscFunctionBegin;
4949: PetscCall(PetscObjectGetClassId(disc, &id));
4950: if (id == PETSCFE_CLASSID) {
4951: PetscCall(DMSetAdjacency(dm, f, PETSC_FALSE, PETSC_TRUE));
4952: } else if (id == PETSCFV_CLASSID) {
4953: PetscCall(DMSetAdjacency(dm, f, PETSC_TRUE, PETSC_FALSE));
4954: } else {
4955: PetscCall(DMSetAdjacency(dm, f, PETSC_FALSE, PETSC_TRUE));
4956: }
4957: PetscFunctionReturn(PETSC_SUCCESS);
4958: }
4960: static PetscErrorCode DMFieldEnlarge_Static(DM dm, PetscInt NfNew)
4961: {
4962: RegionField *tmpr;
4963: PetscInt Nf = dm->Nf, f;
4965: PetscFunctionBegin;
4966: if (Nf >= NfNew) PetscFunctionReturn(PETSC_SUCCESS);
4967: PetscCall(PetscMalloc1(NfNew, &tmpr));
4968: for (f = 0; f < Nf; ++f) tmpr[f] = dm->fields[f];
4969: for (f = Nf; f < NfNew; ++f) {
4970: tmpr[f].disc = NULL;
4971: tmpr[f].label = NULL;
4972: tmpr[f].avoidTensor = PETSC_FALSE;
4973: }
4974: PetscCall(PetscFree(dm->fields));
4975: dm->Nf = NfNew;
4976: dm->fields = tmpr;
4977: PetscFunctionReturn(PETSC_SUCCESS);
4978: }
4980: /*@
4981: DMClearFields - Remove all fields from the `DM`
4983: Logically Collective
4985: Input Parameter:
4986: . dm - The `DM`
4988: Level: intermediate
4990: .seealso: [](ch_dmbase), `DM`, `DMGetNumFields()`, `DMSetNumFields()`, `DMSetField()`
4991: @*/
4992: PetscErrorCode DMClearFields(DM dm)
4993: {
4994: PetscInt f;
4996: PetscFunctionBegin;
4998: if (!dm->fields) PetscFunctionReturn(PETSC_SUCCESS); // DMDA does not use fields field in DM
4999: for (f = 0; f < dm->Nf; ++f) {
5000: PetscCall(PetscObjectDestroy(&dm->fields[f].disc));
5001: PetscCall(DMLabelDestroy(&dm->fields[f].label));
5002: }
5003: PetscCall(PetscFree(dm->fields));
5004: dm->fields = NULL;
5005: dm->Nf = 0;
5006: PetscFunctionReturn(PETSC_SUCCESS);
5007: }
5009: /*@
5010: DMGetNumFields - Get the number of fields in the `DM`
5012: Not Collective
5014: Input Parameter:
5015: . dm - The `DM`
5017: Output Parameter:
5018: . numFields - The number of fields
5020: Level: intermediate
5022: .seealso: [](ch_dmbase), `DM`, `DMSetNumFields()`, `DMSetField()`
5023: @*/
5024: PetscErrorCode DMGetNumFields(DM dm, PetscInt *numFields)
5025: {
5026: PetscFunctionBegin;
5028: PetscAssertPointer(numFields, 2);
5029: *numFields = dm->Nf;
5030: PetscFunctionReturn(PETSC_SUCCESS);
5031: }
5033: /*@
5034: DMSetNumFields - Set the number of fields in the `DM`
5036: Logically Collective
5038: Input Parameters:
5039: + dm - The `DM`
5040: - numFields - The number of fields
5042: Level: intermediate
5044: .seealso: [](ch_dmbase), `DM`, `DMGetNumFields()`, `DMSetField()`
5045: @*/
5046: PetscErrorCode DMSetNumFields(DM dm, PetscInt numFields)
5047: {
5048: PetscInt Nf, f;
5050: PetscFunctionBegin;
5052: PetscCall(DMGetNumFields(dm, &Nf));
5053: for (f = Nf; f < numFields; ++f) {
5054: PetscContainer obj;
5056: PetscCall(PetscContainerCreate(PetscObjectComm((PetscObject)dm), &obj));
5057: PetscCall(DMAddField(dm, NULL, (PetscObject)obj));
5058: PetscCall(PetscContainerDestroy(&obj));
5059: }
5060: PetscFunctionReturn(PETSC_SUCCESS);
5061: }
5063: /*@
5064: DMGetField - Return the `DMLabel` and discretization object for a given `DM` field
5066: Not Collective
5068: Input Parameters:
5069: + dm - The `DM`
5070: - f - The field number
5072: Output Parameters:
5073: + label - The label indicating the support of the field, or `NULL` for the entire mesh (pass in `NULL` if not needed)
5074: - disc - The discretization object (pass in `NULL` if not needed)
5076: Level: intermediate
5078: .seealso: [](ch_dmbase), `DM`, `DMAddField()`, `DMSetField()`
5079: @*/
5080: PetscErrorCode DMGetField(DM dm, PetscInt f, DMLabel *label, PetscObject *disc)
5081: {
5082: PetscFunctionBegin;
5084: PetscAssertPointer(disc, 4);
5085: PetscCheck((f >= 0) && (f < dm->Nf), PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Field number %" PetscInt_FMT " must be in [0, %" PetscInt_FMT ")", f, dm->Nf);
5086: if (!dm->fields) {
5087: if (label) *label = NULL;
5088: if (disc) *disc = NULL;
5089: } else { // some DM such as DMDA do not have dm->fields
5090: if (label) *label = dm->fields[f].label;
5091: if (disc) *disc = dm->fields[f].disc;
5092: }
5093: PetscFunctionReturn(PETSC_SUCCESS);
5094: }
5096: /* Does not clear the DS */
5097: PetscErrorCode DMSetField_Internal(DM dm, PetscInt f, DMLabel label, PetscObject disc)
5098: {
5099: PetscFunctionBegin;
5100: PetscCall(DMFieldEnlarge_Static(dm, f + 1));
5101: PetscCall(DMLabelDestroy(&dm->fields[f].label));
5102: PetscCall(PetscObjectDestroy(&dm->fields[f].disc));
5103: dm->fields[f].label = label;
5104: dm->fields[f].disc = disc;
5105: PetscCall(PetscObjectReference((PetscObject)label));
5106: PetscCall(PetscObjectReference(disc));
5107: PetscFunctionReturn(PETSC_SUCCESS);
5108: }
5110: /*@
5111: DMSetField - Set the discretization object for a given `DM` field. Usually one would call `DMAddField()` which automatically handles
5112: the field numbering.
5114: Logically Collective
5116: Input Parameters:
5117: + dm - The `DM`
5118: . f - The field number
5119: . label - The label indicating the support of the field, or `NULL` for the entire mesh
5120: - disc - The discretization object
5122: Level: intermediate
5124: .seealso: [](ch_dmbase), `DM`, `DMAddField()`, `DMGetField()`
5125: @*/
5126: PetscErrorCode DMSetField(DM dm, PetscInt f, DMLabel label, PetscObject disc)
5127: {
5128: PetscFunctionBegin;
5132: PetscCheck(f >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Field number %" PetscInt_FMT " must be non-negative", f);
5133: PetscCall(DMSetField_Internal(dm, f, label, disc));
5134: PetscCall(DMSetDefaultAdjacency_Private(dm, f, disc));
5135: PetscCall(DMClearDS(dm));
5136: PetscFunctionReturn(PETSC_SUCCESS);
5137: }
5139: /*@
5140: DMAddField - Add a field to a `DM` object. A field is a function space defined by of a set of discretization points (geometric entities)
5141: and a discretization object that defines the function space associated with those points.
5143: Logically Collective
5145: Input Parameters:
5146: + dm - The `DM`
5147: . label - The label indicating the support of the field, or `NULL` for the entire mesh
5148: - disc - The discretization object
5150: Level: intermediate
5152: Notes:
5153: The label already exists or will be added to the `DM` with `DMSetLabel()`.
5155: For example, a piecewise continuous pressure field can be defined by coefficients at the cell centers of a mesh and piecewise constant functions
5156: within each cell. Thus a specific function in the space is defined by the combination of a `Vec` containing the coefficients, a `DM` defining the
5157: geometry entities, a `DMLabel` indicating a subset of those geometric entities, and a discretization object, such as a `PetscFE`.
5159: Fortran Note:
5160: Use the argument `PetscObjectCast(disc)` as the second argument
5162: .seealso: [](ch_dmbase), `DM`, `DMSetLabel()`, `DMSetField()`, `DMGetField()`, `PetscFE`
5163: @*/
5164: PetscErrorCode DMAddField(DM dm, DMLabel label, PetscObject disc)
5165: {
5166: PetscInt Nf = dm->Nf;
5168: PetscFunctionBegin;
5172: PetscCall(DMFieldEnlarge_Static(dm, Nf + 1));
5173: dm->fields[Nf].label = label;
5174: dm->fields[Nf].disc = disc;
5175: PetscCall(PetscObjectReference((PetscObject)label));
5176: PetscCall(PetscObjectReference(disc));
5177: PetscCall(DMSetDefaultAdjacency_Private(dm, Nf, disc));
5178: PetscCall(DMClearDS(dm));
5179: PetscFunctionReturn(PETSC_SUCCESS);
5180: }
5182: /*@
5183: DMSetFieldAvoidTensor - Set flag to avoid defining the field on tensor cells
5185: Logically Collective
5187: Input Parameters:
5188: + dm - The `DM`
5189: . f - The field index
5190: - avoidTensor - `PETSC_TRUE` to skip defining the field on tensor cells
5192: Level: intermediate
5194: .seealso: [](ch_dmbase), `DM`, `DMGetFieldAvoidTensor()`, `DMSetField()`, `DMGetField()`
5195: @*/
5196: PetscErrorCode DMSetFieldAvoidTensor(DM dm, PetscInt f, PetscBool avoidTensor)
5197: {
5198: PetscFunctionBegin;
5199: PetscCheck((f >= 0) && (f < dm->Nf), PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Field %" PetscInt_FMT " is not in [0, %" PetscInt_FMT ")", f, dm->Nf);
5200: dm->fields[f].avoidTensor = avoidTensor;
5201: PetscFunctionReturn(PETSC_SUCCESS);
5202: }
5204: /*@
5205: DMGetFieldAvoidTensor - Get flag to avoid defining the field on tensor cells
5207: Not Collective
5209: Input Parameters:
5210: + dm - The `DM`
5211: - f - The field index
5213: Output Parameter:
5214: . avoidTensor - The flag to avoid defining the field on tensor cells
5216: Level: intermediate
5218: .seealso: [](ch_dmbase), `DM`, `DMAddField()`, `DMSetField()`, `DMGetField()`, `DMSetFieldAvoidTensor()`
5219: @*/
5220: PetscErrorCode DMGetFieldAvoidTensor(DM dm, PetscInt f, PetscBool *avoidTensor)
5221: {
5222: PetscFunctionBegin;
5223: PetscCheck((f >= 0) && (f < dm->Nf), PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Field %" PetscInt_FMT " is not in [0, %" PetscInt_FMT ")", f, dm->Nf);
5224: *avoidTensor = dm->fields[f].avoidTensor;
5225: PetscFunctionReturn(PETSC_SUCCESS);
5226: }
5228: /*@
5229: DMCopyFields - Copy the discretizations for the `DM` into another `DM`
5231: Collective
5233: Input Parameters:
5234: + dm - The `DM`
5235: . minDegree - Minimum degree for a discretization, or `PETSC_DETERMINE` for no limit
5236: - maxDegree - Maximum degree for a discretization, or `PETSC_DETERMINE` for no limit
5238: Output Parameter:
5239: . newdm - The `DM`
5241: Level: advanced
5243: .seealso: [](ch_dmbase), `DM`, `DMGetField()`, `DMSetField()`, `DMAddField()`, `DMCopyDS()`, `DMGetDS()`, `DMGetCellDS()`
5244: @*/
5245: PetscErrorCode DMCopyFields(DM dm, PetscInt minDegree, PetscInt maxDegree, DM newdm)
5246: {
5247: PetscInt Nf, f;
5249: PetscFunctionBegin;
5250: if (dm == newdm) PetscFunctionReturn(PETSC_SUCCESS);
5251: PetscCall(DMGetNumFields(dm, &Nf));
5252: PetscCall(DMClearFields(newdm));
5253: for (f = 0; f < Nf; ++f) {
5254: DMLabel label;
5255: PetscObject field;
5256: PetscClassId id;
5257: PetscBool useCone, useClosure;
5259: PetscCall(DMGetField(dm, f, &label, &field));
5260: PetscCall(PetscObjectGetClassId(field, &id));
5261: if (id == PETSCFE_CLASSID) {
5262: PetscFE newfe;
5264: PetscCall(PetscFELimitDegree((PetscFE)field, minDegree, maxDegree, &newfe));
5265: PetscCall(DMSetField(newdm, f, label, (PetscObject)newfe));
5266: PetscCall(PetscFEDestroy(&newfe));
5267: } else {
5268: PetscCall(DMSetField(newdm, f, label, field));
5269: }
5270: PetscCall(DMGetAdjacency(dm, f, &useCone, &useClosure));
5271: PetscCall(DMSetAdjacency(newdm, f, useCone, useClosure));
5272: }
5273: // Create nullspace constructor slots
5274: if (dm->nullspaceConstructors) {
5275: PetscCall(PetscFree2(newdm->nullspaceConstructors, newdm->nearnullspaceConstructors));
5276: PetscCall(PetscCalloc2(Nf, &newdm->nullspaceConstructors, Nf, &newdm->nearnullspaceConstructors));
5277: }
5278: PetscFunctionReturn(PETSC_SUCCESS);
5279: }
5281: /*@
5282: DMGetAdjacency - Returns the flags for determining variable influence
5284: Not Collective
5286: Input Parameters:
5287: + dm - The `DM` object
5288: - f - The field number, or `PETSC_DEFAULT` for the default adjacency
5290: Output Parameters:
5291: + useCone - Flag for variable influence starting with the cone operation
5292: - useClosure - Flag for variable influence using transitive closure
5294: Level: developer
5296: Notes:
5297: .vb
5298: FEM: Two points p and q are adjacent if q \in closure(star(p)), useCone = PETSC_FALSE, useClosure = PETSC_TRUE
5299: FVM: Two points p and q are adjacent if q \in support(p+cone(p)), useCone = PETSC_TRUE, useClosure = PETSC_FALSE
5300: FVM++: Two points p and q are adjacent if q \in star(closure(p)), useCone = PETSC_TRUE, useClosure = PETSC_TRUE
5301: .ve
5302: Further explanation can be found in the User's Manual Section on the Influence of Variables on One Another.
5304: .seealso: [](ch_dmbase), `DM`, `DMSetAdjacency()`, `DMGetField()`, `DMSetField()`
5305: @*/
5306: PetscErrorCode DMGetAdjacency(DM dm, PetscInt f, PetscBool *useCone, PetscBool *useClosure)
5307: {
5308: PetscFunctionBegin;
5310: if (useCone) PetscAssertPointer(useCone, 3);
5311: if (useClosure) PetscAssertPointer(useClosure, 4);
5312: if (f < 0) {
5313: if (useCone) *useCone = dm->adjacency[0];
5314: if (useClosure) *useClosure = dm->adjacency[1];
5315: } else {
5316: PetscInt Nf;
5318: PetscCall(DMGetNumFields(dm, &Nf));
5319: PetscCheck(f < Nf, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Field number %" PetscInt_FMT " must be in [0, %" PetscInt_FMT ")", f, Nf);
5320: if (useCone) *useCone = dm->fields[f].adjacency[0];
5321: if (useClosure) *useClosure = dm->fields[f].adjacency[1];
5322: }
5323: PetscFunctionReturn(PETSC_SUCCESS);
5324: }
5326: /*@
5327: DMSetAdjacency - Set the flags for determining variable influence
5329: Not Collective
5331: Input Parameters:
5332: + dm - The `DM` object
5333: . f - The field number
5334: . useCone - Flag for variable influence starting with the cone operation
5335: - useClosure - Flag for variable influence using transitive closure
5337: Level: developer
5339: Notes:
5340: .vb
5341: FEM: Two points p and q are adjacent if q \in closure(star(p)), useCone = PETSC_FALSE, useClosure = PETSC_TRUE
5342: FVM: Two points p and q are adjacent if q \in support(p+cone(p)), useCone = PETSC_TRUE, useClosure = PETSC_FALSE
5343: FVM++: Two points p and q are adjacent if q \in star(closure(p)), useCone = PETSC_TRUE, useClosure = PETSC_TRUE
5344: .ve
5345: Further explanation can be found in the User's Manual Section on the Influence of Variables on One Another.
5347: .seealso: [](ch_dmbase), `DM`, `DMGetAdjacency()`, `DMGetField()`, `DMSetField()`
5348: @*/
5349: PetscErrorCode DMSetAdjacency(DM dm, PetscInt f, PetscBool useCone, PetscBool useClosure)
5350: {
5351: PetscFunctionBegin;
5353: if (f < 0) {
5354: dm->adjacency[0] = useCone;
5355: dm->adjacency[1] = useClosure;
5356: } else {
5357: PetscInt Nf;
5359: PetscCall(DMGetNumFields(dm, &Nf));
5360: PetscCheck(f < Nf, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Field number %" PetscInt_FMT " must be in [0, %" PetscInt_FMT ")", f, Nf);
5361: dm->fields[f].adjacency[0] = useCone;
5362: dm->fields[f].adjacency[1] = useClosure;
5363: }
5364: PetscFunctionReturn(PETSC_SUCCESS);
5365: }
5367: /*@
5368: DMGetBasicAdjacency - Returns the flags for determining variable influence, using either the default or field 0 if it is defined
5370: Not collective
5372: Input Parameter:
5373: . dm - The `DM` object
5375: Output Parameters:
5376: + useCone - Flag for variable influence starting with the cone operation
5377: - useClosure - Flag for variable influence using transitive closure
5379: Level: developer
5381: Notes:
5382: .vb
5383: FEM: Two points p and q are adjacent if q \in closure(star(p)), useCone = PETSC_FALSE, useClosure = PETSC_TRUE
5384: FVM: Two points p and q are adjacent if q \in support(p+cone(p)), useCone = PETSC_TRUE, useClosure = PETSC_FALSE
5385: FVM++: Two points p and q are adjacent if q \in star(closure(p)), useCone = PETSC_TRUE, useClosure = PETSC_TRUE
5386: .ve
5388: .seealso: [](ch_dmbase), `DM`, `DMSetBasicAdjacency()`, `DMGetField()`, `DMSetField()`
5389: @*/
5390: PetscErrorCode DMGetBasicAdjacency(DM dm, PetscBool *useCone, PetscBool *useClosure)
5391: {
5392: PetscInt Nf;
5394: PetscFunctionBegin;
5396: if (useCone) PetscAssertPointer(useCone, 2);
5397: if (useClosure) PetscAssertPointer(useClosure, 3);
5398: PetscCall(DMGetNumFields(dm, &Nf));
5399: if (!Nf) {
5400: PetscCall(DMGetAdjacency(dm, PETSC_DEFAULT, useCone, useClosure));
5401: } else {
5402: PetscCall(DMGetAdjacency(dm, 0, useCone, useClosure));
5403: }
5404: PetscFunctionReturn(PETSC_SUCCESS);
5405: }
5407: /*@
5408: DMSetBasicAdjacency - Set the flags for determining variable influence, using either the default or field 0 if it is defined
5410: Not Collective
5412: Input Parameters:
5413: + dm - The `DM` object
5414: . useCone - Flag for variable influence starting with the cone operation
5415: - useClosure - Flag for variable influence using transitive closure
5417: Level: developer
5419: Notes:
5420: .vb
5421: FEM: Two points p and q are adjacent if q \in closure(star(p)), useCone = PETSC_FALSE, useClosure = PETSC_TRUE
5422: FVM: Two points p and q are adjacent if q \in support(p+cone(p)), useCone = PETSC_TRUE, useClosure = PETSC_FALSE
5423: FVM++: Two points p and q are adjacent if q \in star(closure(p)), useCone = PETSC_TRUE, useClosure = PETSC_TRUE
5424: .ve
5426: .seealso: [](ch_dmbase), `DM`, `DMGetBasicAdjacency()`, `DMGetField()`, `DMSetField()`
5427: @*/
5428: PetscErrorCode DMSetBasicAdjacency(DM dm, PetscBool useCone, PetscBool useClosure)
5429: {
5430: PetscInt Nf;
5432: PetscFunctionBegin;
5434: PetscCall(DMGetNumFields(dm, &Nf));
5435: if (!Nf) {
5436: PetscCall(DMSetAdjacency(dm, PETSC_DEFAULT, useCone, useClosure));
5437: } else {
5438: PetscCall(DMSetAdjacency(dm, 0, useCone, useClosure));
5439: }
5440: PetscFunctionReturn(PETSC_SUCCESS);
5441: }
5443: PetscErrorCode DMCompleteBCLabels_Internal(DM dm)
5444: {
5445: DM plex;
5446: DMLabel *labels, *glabels;
5447: const char **names;
5448: char *sendNames, *recvNames;
5449: PetscInt Nds, s, maxLabels = 0, maxLen = 0, gmaxLen, Nl = 0, gNl, l, gl, m;
5450: size_t len;
5451: MPI_Comm comm;
5452: PetscMPIInt rank, size, p, *counts, *displs;
5454: PetscFunctionBegin;
5455: PetscCall(PetscObjectGetComm((PetscObject)dm, &comm));
5456: PetscCallMPI(MPI_Comm_size(comm, &size));
5457: PetscCallMPI(MPI_Comm_rank(comm, &rank));
5458: PetscCall(DMGetNumDS(dm, &Nds));
5459: for (s = 0; s < Nds; ++s) {
5460: PetscDS dsBC;
5461: PetscInt numBd;
5463: PetscCall(DMGetRegionNumDS(dm, s, NULL, NULL, &dsBC, NULL));
5464: PetscCall(PetscDSGetNumBoundary(dsBC, &numBd));
5465: maxLabels += numBd;
5466: }
5467: PetscCall(PetscCalloc1(maxLabels, &labels));
5468: /* Get list of labels to be completed */
5469: for (s = 0; s < Nds; ++s) {
5470: PetscDS dsBC;
5471: PetscInt numBd, bd;
5473: PetscCall(DMGetRegionNumDS(dm, s, NULL, NULL, &dsBC, NULL));
5474: PetscCall(PetscDSGetNumBoundary(dsBC, &numBd));
5475: for (bd = 0; bd < numBd; ++bd) {
5476: DMLabel label;
5477: PetscInt field;
5478: PetscObject obj;
5479: PetscClassId id;
5481: PetscCall(PetscDSGetBoundary(dsBC, bd, NULL, NULL, NULL, &label, NULL, NULL, &field, NULL, NULL, NULL, NULL, NULL));
5482: PetscCall(DMGetField(dm, field, NULL, &obj));
5483: PetscCall(PetscObjectGetClassId(obj, &id));
5484: if (id != PETSCFE_CLASSID || !label) continue;
5485: for (l = 0; l < Nl; ++l)
5486: if (labels[l] == label) break;
5487: if (l == Nl) labels[Nl++] = label;
5488: }
5489: }
5490: /* Get label names */
5491: PetscCall(PetscMalloc1(Nl, &names));
5492: for (l = 0; l < Nl; ++l) PetscCall(PetscObjectGetName((PetscObject)labels[l], &names[l]));
5493: for (l = 0; l < Nl; ++l) {
5494: PetscCall(PetscStrlen(names[l], &len));
5495: maxLen = PetscMax(maxLen, (PetscInt)len + 2);
5496: }
5497: PetscCall(PetscFree(labels));
5498: PetscCallMPI(MPIU_Allreduce(&maxLen, &gmaxLen, 1, MPIU_INT, MPI_MAX, comm));
5499: PetscCall(PetscCalloc1(Nl * gmaxLen, &sendNames));
5500: for (l = 0; l < Nl; ++l) PetscCall(PetscStrncpy(&sendNames[gmaxLen * l], names[l], gmaxLen));
5501: PetscCall(PetscFree(names));
5502: /* Put all names on all processes */
5503: PetscCall(PetscCalloc2(size, &counts, size + 1, &displs));
5504: PetscCallMPI(MPI_Allgather(&Nl, 1, MPI_INT, counts, 1, MPI_INT, comm));
5505: for (p = 0; p < size; ++p) displs[p + 1] = displs[p] + counts[p];
5506: gNl = displs[size];
5507: for (p = 0; p < size; ++p) {
5508: counts[p] *= gmaxLen;
5509: displs[p] *= gmaxLen;
5510: }
5511: PetscCall(PetscCalloc2(gNl * gmaxLen, &recvNames, gNl, &glabels));
5512: PetscCallMPI(MPI_Allgatherv(sendNames, counts[rank], MPI_CHAR, recvNames, counts, displs, MPI_CHAR, comm));
5513: PetscCall(PetscFree2(counts, displs));
5514: PetscCall(PetscFree(sendNames));
5515: for (l = 0, gl = 0; l < gNl; ++l) {
5516: PetscCall(DMGetLabel(dm, &recvNames[l * gmaxLen], &glabels[gl]));
5517: PetscCheck(glabels[gl], PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Label %s missing on rank %d", &recvNames[l * gmaxLen], rank);
5518: for (m = 0; m < gl; ++m)
5519: if (glabels[m] == glabels[gl]) goto next_label;
5520: PetscCall(DMConvert(dm, DMPLEX, &plex));
5521: PetscCall(DMPlexLabelComplete(plex, glabels[gl]));
5522: PetscCall(DMDestroy(&plex));
5523: ++gl;
5524: next_label:
5525: continue;
5526: }
5527: PetscCall(PetscFree2(recvNames, glabels));
5528: PetscFunctionReturn(PETSC_SUCCESS);
5529: }
5531: static PetscErrorCode DMDSEnlarge_Static(DM dm, PetscInt NdsNew)
5532: {
5533: DMSpace *tmpd;
5534: PetscInt Nds = dm->Nds, s;
5536: PetscFunctionBegin;
5537: if (Nds >= NdsNew) PetscFunctionReturn(PETSC_SUCCESS);
5538: PetscCall(PetscMalloc1(NdsNew, &tmpd));
5539: for (s = 0; s < Nds; ++s) tmpd[s] = dm->probs[s];
5540: for (s = Nds; s < NdsNew; ++s) {
5541: tmpd[s].ds = NULL;
5542: tmpd[s].label = NULL;
5543: tmpd[s].fields = NULL;
5544: }
5545: PetscCall(PetscFree(dm->probs));
5546: dm->Nds = NdsNew;
5547: dm->probs = tmpd;
5548: PetscFunctionReturn(PETSC_SUCCESS);
5549: }
5551: /*@
5552: DMGetNumDS - Get the number of discrete systems in the `DM`
5554: Not Collective
5556: Input Parameter:
5557: . dm - The `DM`
5559: Output Parameter:
5560: . Nds - The number of `PetscDS` objects
5562: Level: intermediate
5564: .seealso: [](ch_dmbase), `DM`, `DMGetDS()`, `DMGetCellDS()`
5565: @*/
5566: PetscErrorCode DMGetNumDS(DM dm, PetscInt *Nds)
5567: {
5568: PetscFunctionBegin;
5570: PetscAssertPointer(Nds, 2);
5571: *Nds = dm->Nds;
5572: PetscFunctionReturn(PETSC_SUCCESS);
5573: }
5575: /*@
5576: DMClearDS - Remove all discrete systems from the `DM`
5578: Logically Collective
5580: Input Parameter:
5581: . dm - The `DM`
5583: Level: intermediate
5585: .seealso: [](ch_dmbase), `DM`, `DMGetNumDS()`, `DMGetDS()`, `DMSetField()`
5586: @*/
5587: PetscErrorCode DMClearDS(DM dm)
5588: {
5589: PetscInt s;
5591: PetscFunctionBegin;
5593: for (s = 0; s < dm->Nds; ++s) {
5594: PetscCall(PetscDSDestroy(&dm->probs[s].ds));
5595: PetscCall(PetscDSDestroy(&dm->probs[s].dsIn));
5596: PetscCall(DMLabelDestroy(&dm->probs[s].label));
5597: PetscCall(ISDestroy(&dm->probs[s].fields));
5598: }
5599: PetscCall(PetscFree(dm->probs));
5600: dm->probs = NULL;
5601: dm->Nds = 0;
5602: PetscFunctionReturn(PETSC_SUCCESS);
5603: }
5605: /*@
5606: DMGetDS - Get the default `PetscDS`
5608: Not Collective
5610: Input Parameter:
5611: . dm - The `DM`
5613: Output Parameter:
5614: . ds - The default `PetscDS`
5616: Level: intermediate
5618: Note:
5619: The `ds` is owned by the `dm` and should not be destroyed directly.
5621: .seealso: [](ch_dmbase), `DM`, `DMGetCellDS()`, `DMGetRegionDS()`
5622: @*/
5623: PetscErrorCode DMGetDS(DM dm, PetscDS *ds)
5624: {
5625: PetscFunctionBeginHot;
5627: PetscAssertPointer(ds, 2);
5628: PetscCheck(dm->Nds > 0, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONGSTATE, "Need to call DMCreateDS() before calling DMGetDS()");
5629: *ds = dm->probs[0].ds;
5630: PetscFunctionReturn(PETSC_SUCCESS);
5631: }
5633: /*@
5634: DMGetCellDS - Get the `PetscDS` defined on a given cell
5636: Not Collective
5638: Input Parameters:
5639: + dm - The `DM`
5640: - point - Cell for the `PetscDS`
5642: Output Parameters:
5643: + ds - The `PetscDS` defined on the given cell
5644: - dsIn - The `PetscDS` for input on the given cell, or `NULL` if the same ds
5646: Level: developer
5648: .seealso: [](ch_dmbase), `DM`, `DMGetDS()`, `DMSetRegionDS()`
5649: @*/
5650: PetscErrorCode DMGetCellDS(DM dm, PetscInt point, PetscDS *ds, PetscDS *dsIn)
5651: {
5652: PetscDS dsDef = NULL;
5653: PetscInt s;
5655: PetscFunctionBeginHot;
5657: if (ds) PetscAssertPointer(ds, 3);
5658: if (dsIn) PetscAssertPointer(dsIn, 4);
5659: PetscCheck(point >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Mesh point cannot be negative: %" PetscInt_FMT, point);
5660: if (ds) *ds = NULL;
5661: if (dsIn) *dsIn = NULL;
5662: for (s = 0; s < dm->Nds; ++s) {
5663: PetscInt val;
5665: if (!dm->probs[s].label) {
5666: dsDef = dm->probs[s].ds;
5667: } else {
5668: PetscCall(DMLabelGetValue(dm->probs[s].label, point, &val));
5669: if (val >= 0) {
5670: if (ds) *ds = dm->probs[s].ds;
5671: if (dsIn) *dsIn = dm->probs[s].dsIn;
5672: break;
5673: }
5674: }
5675: }
5676: if (ds && !*ds) *ds = dsDef;
5677: PetscFunctionReturn(PETSC_SUCCESS);
5678: }
5680: /*@
5681: DMGetRegionDS - Get the `PetscDS` for a given mesh region, defined by a `DMLabel`
5683: Not Collective
5685: Input Parameters:
5686: + dm - The `DM`
5687: - label - The `DMLabel` defining the mesh region, or `NULL` for the entire mesh
5689: Output Parameters:
5690: + fields - The `IS` containing the `DM` field numbers for the fields in this `PetscDS`, or `NULL`
5691: . ds - The `PetscDS` defined on the given region, or `NULL`
5692: - dsIn - The `PetscDS` for input in the given region, or `NULL`
5694: Level: advanced
5696: Note:
5697: If a non-`NULL` label is given, but there is no `PetscDS` on that specific label,
5698: the `PetscDS` for the full domain (if present) is returned. Returns with
5699: fields = `NULL` and ds = `NULL` if there is no `PetscDS` for the full domain.
5701: .seealso: [](ch_dmbase), `DM`, `DMGetRegionNumDS()`, `DMSetRegionDS()`, `DMGetDS()`, `DMGetCellDS()`
5702: @*/
5703: PetscErrorCode DMGetRegionDS(DM dm, DMLabel label, IS *fields, PetscDS *ds, PetscDS *dsIn)
5704: {
5705: PetscInt Nds = dm->Nds, s;
5707: PetscFunctionBegin;
5710: if (fields) {
5711: PetscAssertPointer(fields, 3);
5712: *fields = NULL;
5713: }
5714: if (ds) {
5715: PetscAssertPointer(ds, 4);
5716: *ds = NULL;
5717: }
5718: if (dsIn) {
5719: PetscAssertPointer(dsIn, 5);
5720: *dsIn = NULL;
5721: }
5722: for (s = 0; s < Nds; ++s) {
5723: if (dm->probs[s].label == label || !dm->probs[s].label) {
5724: if (fields) *fields = dm->probs[s].fields;
5725: if (ds) *ds = dm->probs[s].ds;
5726: if (dsIn) *dsIn = dm->probs[s].dsIn;
5727: if (dm->probs[s].label) PetscFunctionReturn(PETSC_SUCCESS);
5728: }
5729: }
5730: PetscFunctionReturn(PETSC_SUCCESS);
5731: }
5733: /*@
5734: DMSetRegionDS - Set the `PetscDS` for a given mesh region, defined by a `DMLabel`
5736: Collective
5738: Input Parameters:
5739: + dm - The `DM`
5740: . label - The `DMLabel` defining the mesh region, or `NULL` for the entire mesh
5741: . fields - The `IS` containing the `DM` field numbers for the fields in this `PetscDS`, or `NULL` for all fields
5742: . ds - The `PetscDS` defined on the given region
5743: - dsIn - The `PetscDS` for input on the given cell, or `NULL` if it is the same `PetscDS`
5745: Level: advanced
5747: Note:
5748: If the label has a `PetscDS` defined, it will be replaced. Otherwise, it will be added to the `DM`. If the `PetscDS` is replaced,
5749: the fields argument is ignored.
5751: .seealso: [](ch_dmbase), `DM`, `DMGetRegionDS()`, `DMSetRegionNumDS()`, `DMGetDS()`, `DMGetCellDS()`
5752: @*/
5753: PetscErrorCode DMSetRegionDS(DM dm, DMLabel label, IS fields, PetscDS ds, PetscDS dsIn)
5754: {
5755: PetscInt Nds = dm->Nds, s;
5757: PetscFunctionBegin;
5763: for (s = 0; s < Nds; ++s) {
5764: if (dm->probs[s].label == label) {
5765: PetscCall(PetscDSDestroy(&dm->probs[s].ds));
5766: PetscCall(PetscDSDestroy(&dm->probs[s].dsIn));
5767: dm->probs[s].ds = ds;
5768: dm->probs[s].dsIn = dsIn;
5769: PetscFunctionReturn(PETSC_SUCCESS);
5770: }
5771: }
5772: PetscCall(DMDSEnlarge_Static(dm, Nds + 1));
5773: PetscCall(PetscObjectReference((PetscObject)label));
5774: PetscCall(PetscObjectReference((PetscObject)fields));
5775: PetscCall(PetscObjectReference((PetscObject)ds));
5776: PetscCall(PetscObjectReference((PetscObject)dsIn));
5777: if (!label) {
5778: /* Put the NULL label at the front, so it is returned as the default */
5779: for (s = Nds - 1; s >= 0; --s) dm->probs[s + 1] = dm->probs[s];
5780: Nds = 0;
5781: }
5782: dm->probs[Nds].label = label;
5783: dm->probs[Nds].fields = fields;
5784: dm->probs[Nds].ds = ds;
5785: dm->probs[Nds].dsIn = dsIn;
5786: PetscFunctionReturn(PETSC_SUCCESS);
5787: }
5789: /*@
5790: DMGetRegionNumDS - Get the `PetscDS` for a given mesh region, defined by the region number
5792: Not Collective
5794: Input Parameters:
5795: + dm - The `DM`
5796: - num - The region number, in [0, Nds)
5798: Output Parameters:
5799: + label - The region label, or `NULL`
5800: . fields - The `IS` containing the `DM` field numbers for the fields in this `PetscDS`, or `NULL`
5801: . ds - The `PetscDS` defined on the given region, or `NULL`
5802: - dsIn - The `PetscDS` for input in the given region, or `NULL`
5804: Level: advanced
5806: .seealso: [](ch_dmbase), `DM`, `DMGetRegionDS()`, `DMSetRegionDS()`, `DMGetDS()`, `DMGetCellDS()`
5807: @*/
5808: PetscErrorCode DMGetRegionNumDS(DM dm, PetscInt num, DMLabel *label, IS *fields, PetscDS *ds, PetscDS *dsIn)
5809: {
5810: PetscInt Nds;
5812: PetscFunctionBegin;
5814: PetscCall(DMGetNumDS(dm, &Nds));
5815: PetscCheck((num >= 0) && (num < Nds), PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Region number %" PetscInt_FMT " is not in [0, %" PetscInt_FMT ")", num, Nds);
5816: if (label) {
5817: PetscAssertPointer(label, 3);
5818: *label = dm->probs[num].label;
5819: }
5820: if (fields) {
5821: PetscAssertPointer(fields, 4);
5822: *fields = dm->probs[num].fields;
5823: }
5824: if (ds) {
5825: PetscAssertPointer(ds, 5);
5826: *ds = dm->probs[num].ds;
5827: }
5828: if (dsIn) {
5829: PetscAssertPointer(dsIn, 6);
5830: *dsIn = dm->probs[num].dsIn;
5831: }
5832: PetscFunctionReturn(PETSC_SUCCESS);
5833: }
5835: /*@
5836: DMSetRegionNumDS - Set the `PetscDS` for a given mesh region, defined by the region number
5838: Not Collective
5840: Input Parameters:
5841: + dm - The `DM`
5842: . num - The region number, in [0, Nds)
5843: . label - The region label, or `NULL`
5844: . fields - The `IS` containing the `DM` field numbers for the fields in this `PetscDS`, or `NULL` to prevent setting
5845: . ds - The `PetscDS` defined on the given region, or `NULL` to prevent setting
5846: - dsIn - The `PetscDS` for input on the given cell, or `NULL` if it is the same `PetscDS`
5848: Level: advanced
5850: .seealso: [](ch_dmbase), `DM`, `DMGetRegionDS()`, `DMSetRegionDS()`, `DMGetDS()`, `DMGetCellDS()`
5851: @*/
5852: PetscErrorCode DMSetRegionNumDS(DM dm, PetscInt num, DMLabel label, IS fields, PetscDS ds, PetscDS dsIn)
5853: {
5854: PetscInt Nds;
5856: PetscFunctionBegin;
5859: PetscCall(DMGetNumDS(dm, &Nds));
5860: PetscCheck((num >= 0) && (num < Nds), PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Region number %" PetscInt_FMT " is not in [0, %" PetscInt_FMT ")", num, Nds);
5861: PetscCall(PetscObjectReference((PetscObject)label));
5862: PetscCall(DMLabelDestroy(&dm->probs[num].label));
5863: dm->probs[num].label = label;
5864: if (fields) {
5866: PetscCall(PetscObjectReference((PetscObject)fields));
5867: PetscCall(ISDestroy(&dm->probs[num].fields));
5868: dm->probs[num].fields = fields;
5869: }
5870: if (ds) {
5872: PetscCall(PetscObjectReference((PetscObject)ds));
5873: PetscCall(PetscDSDestroy(&dm->probs[num].ds));
5874: dm->probs[num].ds = ds;
5875: }
5876: if (dsIn) {
5878: PetscCall(PetscObjectReference((PetscObject)dsIn));
5879: PetscCall(PetscDSDestroy(&dm->probs[num].dsIn));
5880: dm->probs[num].dsIn = dsIn;
5881: }
5882: PetscFunctionReturn(PETSC_SUCCESS);
5883: }
5885: /*@
5886: DMFindRegionNum - Find the region number for a given `PetscDS`, or -1 if it is not found.
5888: Not Collective
5890: Input Parameters:
5891: + dm - The `DM`
5892: - ds - The `PetscDS` defined on the given region
5894: Output Parameter:
5895: . num - The region number, in [0, Nds), or -1 if not found
5897: Level: advanced
5899: .seealso: [](ch_dmbase), `DM`, `DMGetRegionNumDS()`, `DMGetRegionDS()`, `DMSetRegionDS()`, `DMGetDS()`, `DMGetCellDS()`
5900: @*/
5901: PetscErrorCode DMFindRegionNum(DM dm, PetscDS ds, PetscInt *num)
5902: {
5903: PetscInt Nds, n;
5905: PetscFunctionBegin;
5908: PetscAssertPointer(num, 3);
5909: PetscCall(DMGetNumDS(dm, &Nds));
5910: for (n = 0; n < Nds; ++n)
5911: if (ds == dm->probs[n].ds) break;
5912: if (n >= Nds) *num = -1;
5913: else *num = n;
5914: PetscFunctionReturn(PETSC_SUCCESS);
5915: }
5917: /*@
5918: DMCreateFEDefault - Create a `PetscFE` based on the celltype for the mesh
5920: Not Collective
5922: Input Parameters:
5923: + dm - The `DM`
5924: . Nc - The number of components for the field
5925: . prefix - The options prefix for the output `PetscFE`, or `NULL`
5926: - qorder - The quadrature order or `PETSC_DETERMINE` to use `PetscSpace` polynomial degree
5928: Output Parameter:
5929: . fem - The `PetscFE`
5931: Level: intermediate
5933: Note:
5934: This is a convenience method that just calls `PetscFECreateByCell()` underneath.
5936: .seealso: [](ch_dmbase), `DM`, `PetscFECreateByCell()`, `DMAddField()`, `DMCreateDS()`, `DMGetCellDS()`, `DMGetRegionDS()`
5937: @*/
5938: PetscErrorCode DMCreateFEDefault(DM dm, PetscInt Nc, const char prefix[], PetscInt qorder, PetscFE *fem)
5939: {
5940: DMPolytopeType ct;
5941: PetscInt dim, cStart;
5943: PetscFunctionBegin;
5946: if (prefix) PetscAssertPointer(prefix, 3);
5948: PetscAssertPointer(fem, 5);
5949: PetscCall(DMGetDimension(dm, &dim));
5950: PetscCall(DMPlexGetHeightStratum(dm, 0, &cStart, NULL));
5951: PetscCall(DMPlexGetCellType(dm, cStart, &ct));
5952: PetscCall(PetscFECreateByCell(PETSC_COMM_SELF, dim, Nc, ct, prefix, qorder, fem));
5953: PetscFunctionReturn(PETSC_SUCCESS);
5954: }
5956: /*@
5957: DMCreateDS - Create the discrete systems for the `DM` based upon the fields added to the `DM`
5959: Collective
5961: Input Parameter:
5962: . dm - The `DM`
5964: Options Database Key:
5965: . -dm_petscds_view - View all the `PetscDS` objects in this `DM`
5967: Level: intermediate
5969: Developer Note:
5970: The name of this function is wrong. Create functions always return the created object as one of the arguments.
5972: .seealso: [](ch_dmbase), `DM`, `DMSetField`, `DMAddField()`, `DMGetDS()`, `DMGetCellDS()`, `DMGetRegionDS()`, `DMSetRegionDS()`
5973: @*/
5974: PetscErrorCode DMCreateDS(DM dm)
5975: {
5976: MPI_Comm comm;
5977: PetscDS dsDef;
5978: DMLabel *labelSet;
5979: PetscInt dE, Nf = dm->Nf, f, s, Nl, l, Ndef, k;
5980: PetscBool doSetup = PETSC_TRUE, flg;
5982: PetscFunctionBegin;
5984: if (!dm->fields) PetscFunctionReturn(PETSC_SUCCESS);
5985: PetscCall(PetscObjectGetComm((PetscObject)dm, &comm));
5986: PetscCall(DMGetCoordinateDim(dm, &dE));
5987: // Create nullspace constructor slots
5988: PetscCall(PetscFree2(dm->nullspaceConstructors, dm->nearnullspaceConstructors));
5989: PetscCall(PetscCalloc2(Nf, &dm->nullspaceConstructors, Nf, &dm->nearnullspaceConstructors));
5990: /* Determine how many regions we have */
5991: PetscCall(PetscMalloc1(Nf, &labelSet));
5992: Nl = 0;
5993: Ndef = 0;
5994: for (f = 0; f < Nf; ++f) {
5995: DMLabel label = dm->fields[f].label;
5996: PetscInt l;
5998: #ifdef PETSC_HAVE_LIBCEED
5999: /* Move CEED context to discretizations */
6000: {
6001: PetscClassId id;
6003: PetscCall(PetscObjectGetClassId(dm->fields[f].disc, &id));
6004: if (id == PETSCFE_CLASSID) {
6005: Ceed ceed;
6007: PetscCall(DMGetCeed(dm, &ceed));
6008: PetscCall(PetscFESetCeed((PetscFE)dm->fields[f].disc, ceed));
6009: }
6010: }
6011: #endif
6012: if (!label) {
6013: ++Ndef;
6014: continue;
6015: }
6016: for (l = 0; l < Nl; ++l)
6017: if (label == labelSet[l]) break;
6018: if (l < Nl) continue;
6019: labelSet[Nl++] = label;
6020: }
6021: /* Create default DS if there are no labels to intersect with */
6022: PetscCall(DMGetRegionDS(dm, NULL, NULL, &dsDef, NULL));
6023: if (!dsDef && Ndef && !Nl) {
6024: IS fields;
6025: PetscInt *fld, nf;
6027: for (f = 0, nf = 0; f < Nf; ++f)
6028: if (!dm->fields[f].label) ++nf;
6029: PetscCheck(nf, comm, PETSC_ERR_PLIB, "All fields have labels, but we are trying to create a default DS");
6030: PetscCall(PetscMalloc1(nf, &fld));
6031: for (f = 0, nf = 0; f < Nf; ++f)
6032: if (!dm->fields[f].label) fld[nf++] = f;
6033: PetscCall(ISCreate(PETSC_COMM_SELF, &fields));
6034: PetscCall(PetscObjectSetOptionsPrefix((PetscObject)fields, "dm_fields_"));
6035: PetscCall(ISSetType(fields, ISGENERAL));
6036: PetscCall(ISGeneralSetIndices(fields, nf, fld, PETSC_OWN_POINTER));
6038: PetscCall(PetscDSCreate(PETSC_COMM_SELF, &dsDef));
6039: PetscCall(DMSetRegionDS(dm, NULL, fields, dsDef, NULL));
6040: PetscCall(PetscDSDestroy(&dsDef));
6041: PetscCall(ISDestroy(&fields));
6042: }
6043: PetscCall(DMGetRegionDS(dm, NULL, NULL, &dsDef, NULL));
6044: if (dsDef) PetscCall(PetscDSSetCoordinateDimension(dsDef, dE));
6045: /* Intersect labels with default fields */
6046: if (Ndef && Nl) {
6047: DM plex;
6048: DMLabel cellLabel;
6049: IS fieldIS, allcellIS, defcellIS = NULL;
6050: PetscInt *fields;
6051: const PetscInt *cells;
6052: PetscInt depth, nf = 0, n, c;
6054: PetscCall(DMConvert(dm, DMPLEX, &plex));
6055: PetscCall(DMPlexGetDepth(plex, &depth));
6056: PetscCall(DMGetStratumIS(plex, "dim", depth, &allcellIS));
6057: if (!allcellIS) PetscCall(DMGetStratumIS(plex, "depth", depth, &allcellIS));
6058: /* TODO This looks like it only works for one label */
6059: for (l = 0; l < Nl; ++l) {
6060: DMLabel label = labelSet[l];
6061: IS pointIS;
6063: PetscCall(ISDestroy(&defcellIS));
6064: PetscCall(DMLabelGetStratumIS(label, 1, &pointIS));
6065: PetscCall(ISDifference(allcellIS, pointIS, &defcellIS));
6066: PetscCall(ISDestroy(&pointIS));
6067: }
6068: PetscCall(ISDestroy(&allcellIS));
6070: PetscCall(DMLabelCreate(PETSC_COMM_SELF, "defaultCells", &cellLabel));
6071: PetscCall(ISGetLocalSize(defcellIS, &n));
6072: PetscCall(ISGetIndices(defcellIS, &cells));
6073: for (c = 0; c < n; ++c) PetscCall(DMLabelSetValue(cellLabel, cells[c], 1));
6074: PetscCall(ISRestoreIndices(defcellIS, &cells));
6075: PetscCall(ISDestroy(&defcellIS));
6076: PetscCall(DMPlexLabelComplete(plex, cellLabel));
6078: PetscCall(PetscMalloc1(Ndef, &fields));
6079: for (f = 0; f < Nf; ++f)
6080: if (!dm->fields[f].label) fields[nf++] = f;
6081: PetscCall(ISCreate(PETSC_COMM_SELF, &fieldIS));
6082: PetscCall(PetscObjectSetOptionsPrefix((PetscObject)fieldIS, "dm_fields_"));
6083: PetscCall(ISSetType(fieldIS, ISGENERAL));
6084: PetscCall(ISGeneralSetIndices(fieldIS, nf, fields, PETSC_OWN_POINTER));
6086: PetscCall(PetscDSCreate(PETSC_COMM_SELF, &dsDef));
6087: PetscCall(DMSetRegionDS(dm, cellLabel, fieldIS, dsDef, NULL));
6088: PetscCall(PetscDSSetCoordinateDimension(dsDef, dE));
6089: PetscCall(DMLabelDestroy(&cellLabel));
6090: PetscCall(PetscDSDestroy(&dsDef));
6091: PetscCall(ISDestroy(&fieldIS));
6092: PetscCall(DMDestroy(&plex));
6093: }
6094: /* Create label DSes
6095: - WE ONLY SUPPORT IDENTICAL OR DISJOINT LABELS
6096: */
6097: /* TODO Should check that labels are disjoint */
6098: for (l = 0; l < Nl; ++l) {
6099: DMLabel label = labelSet[l];
6100: PetscDS ds, dsIn = NULL;
6101: IS fields;
6102: PetscInt *fld, nf;
6104: PetscCall(PetscDSCreate(PETSC_COMM_SELF, &ds));
6105: for (f = 0, nf = 0; f < Nf; ++f)
6106: if (label == dm->fields[f].label || !dm->fields[f].label) ++nf;
6107: PetscCall(PetscMalloc1(nf, &fld));
6108: for (f = 0, nf = 0; f < Nf; ++f)
6109: if (label == dm->fields[f].label || !dm->fields[f].label) fld[nf++] = f;
6110: PetscCall(ISCreate(PETSC_COMM_SELF, &fields));
6111: PetscCall(PetscObjectSetOptionsPrefix((PetscObject)fields, "dm_fields_"));
6112: PetscCall(ISSetType(fields, ISGENERAL));
6113: PetscCall(ISGeneralSetIndices(fields, nf, fld, PETSC_OWN_POINTER));
6114: PetscCall(PetscDSSetCoordinateDimension(ds, dE));
6115: {
6116: DMPolytopeType ct;
6117: PetscInt lStart, lEnd;
6118: PetscBool isCohesiveLocal = PETSC_FALSE, isCohesive;
6120: PetscCall(DMLabelGetBounds(label, &lStart, &lEnd));
6121: if (lStart >= 0) {
6122: PetscCall(DMPlexGetCellType(dm, lStart, &ct));
6123: switch (ct) {
6124: case DM_POLYTOPE_POINT_PRISM_TENSOR:
6125: case DM_POLYTOPE_SEG_PRISM_TENSOR:
6126: case DM_POLYTOPE_TRI_PRISM_TENSOR:
6127: case DM_POLYTOPE_QUAD_PRISM_TENSOR:
6128: isCohesiveLocal = PETSC_TRUE;
6129: break;
6130: default:
6131: break;
6132: }
6133: }
6134: PetscCallMPI(MPIU_Allreduce(&isCohesiveLocal, &isCohesive, 1, MPI_C_BOOL, MPI_LOR, comm));
6135: if (isCohesive) {
6136: PetscCall(PetscDSCreate(PETSC_COMM_SELF, &dsIn));
6137: PetscCall(PetscDSSetCoordinateDimension(dsIn, dE));
6138: }
6139: for (f = 0, nf = 0; f < Nf; ++f) {
6140: if (label == dm->fields[f].label || !dm->fields[f].label) {
6141: if (label == dm->fields[f].label) {
6142: PetscCall(PetscDSSetDiscretization(ds, nf, NULL));
6143: PetscCall(PetscDSSetCohesive(ds, nf, isCohesive));
6144: if (dsIn) {
6145: PetscCall(PetscDSSetDiscretization(dsIn, nf, NULL));
6146: PetscCall(PetscDSSetCohesive(dsIn, nf, isCohesive));
6147: }
6148: }
6149: ++nf;
6150: }
6151: }
6152: }
6153: PetscCall(DMSetRegionDS(dm, label, fields, ds, dsIn));
6154: PetscCall(ISDestroy(&fields));
6155: PetscCall(PetscDSDestroy(&ds));
6156: PetscCall(PetscDSDestroy(&dsIn));
6157: }
6158: PetscCall(PetscFree(labelSet));
6159: /* Set fields in DSes */
6160: for (s = 0; s < dm->Nds; ++s) {
6161: PetscDS ds = dm->probs[s].ds;
6162: PetscDS dsIn = dm->probs[s].dsIn;
6163: IS fields = dm->probs[s].fields;
6164: const PetscInt *fld;
6165: PetscInt nf, dsnf;
6166: PetscBool isCohesive;
6168: PetscCall(PetscDSGetNumFields(ds, &dsnf));
6169: PetscCall(PetscDSIsCohesive(ds, &isCohesive));
6170: PetscCall(ISGetLocalSize(fields, &nf));
6171: PetscCall(ISGetIndices(fields, &fld));
6172: for (f = 0; f < nf; ++f) {
6173: PetscObject disc = dm->fields[fld[f]].disc;
6174: PetscBool isCohesiveField;
6175: PetscClassId id;
6177: /* Handle DS with no fields */
6178: if (dsnf) PetscCall(PetscDSGetCohesive(ds, f, &isCohesiveField));
6179: /* If this is a cohesive cell, then regular fields need the lower dimensional discretization */
6180: if (isCohesive) {
6181: if (!isCohesiveField) {
6182: PetscObject bdDisc;
6184: PetscCall(PetscFEGetHeightSubspace((PetscFE)disc, 1, (PetscFE *)&bdDisc));
6185: PetscCall(PetscDSSetDiscretization(ds, f, bdDisc));
6186: PetscCall(PetscDSSetDiscretization(dsIn, f, disc));
6187: } else {
6188: PetscCall(PetscDSSetDiscretization(ds, f, disc));
6189: PetscCall(PetscDSSetDiscretization(dsIn, f, disc));
6190: }
6191: } else {
6192: PetscCall(PetscDSSetDiscretization(ds, f, disc));
6193: }
6194: /* We allow people to have placeholder fields and construct the Section by hand */
6195: PetscCall(PetscObjectGetClassId(disc, &id));
6196: if ((id != PETSCFE_CLASSID) && (id != PETSCFV_CLASSID)) doSetup = PETSC_FALSE;
6197: }
6198: PetscCall(ISRestoreIndices(fields, &fld));
6199: }
6200: /* Allow k-jet tabulation */
6201: PetscCall(PetscOptionsGetInt(NULL, ((PetscObject)dm)->prefix, "-dm_ds_jet_degree", &k, &flg));
6202: if (flg) {
6203: for (s = 0; s < dm->Nds; ++s) {
6204: PetscDS ds = dm->probs[s].ds;
6205: PetscDS dsIn = dm->probs[s].dsIn;
6206: PetscInt Nf, f;
6208: PetscCall(PetscDSGetNumFields(ds, &Nf));
6209: for (f = 0; f < Nf; ++f) {
6210: PetscCall(PetscDSSetJetDegree(ds, f, k));
6211: if (dsIn) PetscCall(PetscDSSetJetDegree(dsIn, f, k));
6212: }
6213: }
6214: }
6215: /* Setup DSes */
6216: if (doSetup) {
6217: for (s = 0; s < dm->Nds; ++s) {
6218: if (dm->setfromoptionscalled) {
6219: PetscCall(PetscDSSetFromOptions(dm->probs[s].ds));
6220: if (dm->probs[s].dsIn) PetscCall(PetscDSSetFromOptions(dm->probs[s].dsIn));
6221: }
6222: PetscCall(PetscDSSetUp(dm->probs[s].ds));
6223: if (dm->probs[s].dsIn) PetscCall(PetscDSSetUp(dm->probs[s].dsIn));
6224: }
6225: }
6226: PetscFunctionReturn(PETSC_SUCCESS);
6227: }
6229: /*@
6230: DMUseTensorOrder - Use a tensor product closure ordering for the default section
6232: Input Parameters:
6233: + dm - The DM
6234: - tensor - Flag for tensor order
6236: Level: developer
6238: .seealso: `DMPlexSetClosurePermutationTensor()`, `PetscSectionResetClosurePermutation()`
6239: @*/
6240: PetscErrorCode DMUseTensorOrder(DM dm, PetscBool tensor)
6241: {
6242: PetscInt Nf;
6243: PetscBool reorder = PETSC_TRUE, isPlex;
6245: PetscFunctionBegin;
6246: PetscCall(PetscObjectTypeCompare((PetscObject)dm, DMPLEX, &isPlex));
6247: PetscCall(DMGetNumFields(dm, &Nf));
6248: for (PetscInt f = 0; f < Nf; ++f) {
6249: PetscObject obj;
6250: PetscClassId id;
6252: PetscCall(DMGetField(dm, f, NULL, &obj));
6253: PetscCall(PetscObjectGetClassId(obj, &id));
6254: if (id == PETSCFE_CLASSID) {
6255: PetscSpace sp;
6256: PetscBool tensor;
6258: PetscCall(PetscFEGetBasisSpace((PetscFE)obj, &sp));
6259: PetscCall(PetscSpacePolynomialGetTensor(sp, &tensor));
6260: reorder = reorder && tensor ? PETSC_TRUE : PETSC_FALSE;
6261: } else reorder = PETSC_FALSE;
6262: }
6263: if (tensor) {
6264: if (reorder && isPlex) PetscCall(DMPlexSetClosurePermutationTensor(dm, PETSC_DETERMINE, NULL));
6265: } else {
6266: PetscSection s;
6268: PetscCall(DMGetLocalSection(dm, &s));
6269: if (s) PetscCall(PetscSectionResetClosurePermutation(s));
6270: }
6271: PetscFunctionReturn(PETSC_SUCCESS);
6272: }
6274: /*@
6275: DMComputeExactSolution - Compute the exact solution for a given `DM`, using the `PetscDS` information.
6277: Collective
6279: Input Parameters:
6280: + dm - The `DM`
6281: - time - The time
6283: Output Parameters:
6284: + u - The vector will be filled with exact solution values, or `NULL`
6285: - u_t - The vector will be filled with the time derivative of exact solution values, or `NULL`
6287: Level: developer
6289: Note:
6290: The user must call `PetscDSSetExactSolution()` before using this routine
6292: .seealso: [](ch_dmbase), `DM`, `PetscDSSetExactSolution()`
6293: @*/
6294: PetscErrorCode DMComputeExactSolution(DM dm, PetscReal time, Vec u, Vec u_t)
6295: {
6296: PetscErrorCode (**exacts)(PetscInt, PetscReal, const PetscReal x[], PetscInt, PetscScalar *u, PetscCtx ctx);
6297: void **ectxs;
6298: Vec locu, locu_t;
6299: PetscInt Nf, Nds, s;
6301: PetscFunctionBegin;
6303: if (u) {
6305: PetscCall(DMGetLocalVector(dm, &locu));
6306: PetscCall(VecSet(locu, 0.));
6307: }
6308: if (u_t) {
6310: PetscCall(DMGetLocalVector(dm, &locu_t));
6311: PetscCall(VecSet(locu_t, 0.));
6312: }
6313: PetscCall(DMGetNumFields(dm, &Nf));
6314: PetscCall(PetscMalloc2(Nf, &exacts, Nf, &ectxs));
6315: PetscCall(DMGetNumDS(dm, &Nds));
6316: for (s = 0; s < Nds; ++s) {
6317: PetscDS ds;
6318: DMLabel label;
6319: IS fieldIS;
6320: const PetscInt *fields, id = 1;
6321: PetscInt dsNf, f;
6323: PetscCall(DMGetRegionNumDS(dm, s, &label, &fieldIS, &ds, NULL));
6324: PetscCall(PetscDSGetNumFields(ds, &dsNf));
6325: PetscCall(ISGetIndices(fieldIS, &fields));
6326: PetscCall(PetscArrayzero(exacts, Nf));
6327: PetscCall(PetscArrayzero(ectxs, Nf));
6328: if (u) {
6329: for (f = 0; f < dsNf; ++f) PetscCall(PetscDSGetExactSolution(ds, fields[f], &exacts[fields[f]], &ectxs[fields[f]]));
6330: if (label) PetscCall(DMProjectFunctionLabelLocal(dm, time, label, 1, &id, 0, NULL, exacts, ectxs, INSERT_ALL_VALUES, locu));
6331: else PetscCall(DMProjectFunctionLocal(dm, time, exacts, ectxs, INSERT_ALL_VALUES, locu));
6332: }
6333: if (u_t) {
6334: PetscCall(PetscArrayzero(exacts, Nf));
6335: PetscCall(PetscArrayzero(ectxs, Nf));
6336: for (f = 0; f < dsNf; ++f) PetscCall(PetscDSGetExactSolutionTimeDerivative(ds, fields[f], &exacts[fields[f]], &ectxs[fields[f]]));
6337: if (label) PetscCall(DMProjectFunctionLabelLocal(dm, time, label, 1, &id, 0, NULL, exacts, ectxs, INSERT_ALL_VALUES, locu_t));
6338: else PetscCall(DMProjectFunctionLocal(dm, time, exacts, ectxs, INSERT_ALL_VALUES, locu_t));
6339: }
6340: PetscCall(ISRestoreIndices(fieldIS, &fields));
6341: }
6342: if (u) {
6343: PetscCall(PetscObjectSetName((PetscObject)u, "Exact Solution"));
6344: PetscCall(PetscObjectSetOptionsPrefix((PetscObject)u, "exact_"));
6345: }
6346: if (u_t) {
6347: PetscCall(PetscObjectSetName((PetscObject)u, "Exact Solution Time Derivative"));
6348: PetscCall(PetscObjectSetOptionsPrefix((PetscObject)u_t, "exact_t_"));
6349: }
6350: PetscCall(PetscFree2(exacts, ectxs));
6351: if (u) {
6352: PetscCall(DMLocalToGlobalBegin(dm, locu, INSERT_ALL_VALUES, u));
6353: PetscCall(DMLocalToGlobalEnd(dm, locu, INSERT_ALL_VALUES, u));
6354: PetscCall(DMRestoreLocalVector(dm, &locu));
6355: }
6356: if (u_t) {
6357: PetscCall(DMLocalToGlobalBegin(dm, locu_t, INSERT_ALL_VALUES, u_t));
6358: PetscCall(DMLocalToGlobalEnd(dm, locu_t, INSERT_ALL_VALUES, u_t));
6359: PetscCall(DMRestoreLocalVector(dm, &locu_t));
6360: }
6361: PetscFunctionReturn(PETSC_SUCCESS);
6362: }
6364: static PetscErrorCode DMTransferDS_Internal(DM dm, DMLabel label, IS fields, PetscInt minDegree, PetscInt maxDegree, PetscDS ds, PetscDS dsIn)
6365: {
6366: PetscDS dsNew, dsInNew = NULL;
6368: PetscFunctionBegin;
6369: PetscCall(PetscDSCreate(PetscObjectComm((PetscObject)ds), &dsNew));
6370: PetscCall(PetscDSCopy(ds, minDegree, maxDegree, dm, dsNew));
6371: if (dsIn) {
6372: PetscCall(PetscDSCreate(PetscObjectComm((PetscObject)dsIn), &dsInNew));
6373: PetscCall(PetscDSCopy(dsIn, minDegree, maxDegree, dm, dsInNew));
6374: }
6375: PetscCall(DMSetRegionDS(dm, label, fields, dsNew, dsInNew));
6376: PetscCall(PetscDSDestroy(&dsNew));
6377: PetscCall(PetscDSDestroy(&dsInNew));
6378: PetscFunctionReturn(PETSC_SUCCESS);
6379: }
6381: /*@
6382: DMCopyDS - Copy the discrete systems for the `DM` into another `DM`
6384: Collective
6386: Input Parameters:
6387: + dm - The `DM`
6388: . minDegree - Minimum degree for a discretization, or `PETSC_DETERMINE` for no limit
6389: - maxDegree - Maximum degree for a discretization, or `PETSC_DETERMINE` for no limit
6391: Output Parameter:
6392: . newdm - The `DM`
6394: Level: advanced
6396: .seealso: [](ch_dmbase), `DM`, `DMCopyFields()`, `DMAddField()`, `DMGetDS()`, `DMGetCellDS()`, `DMGetRegionDS()`, `DMSetRegionDS()`
6397: @*/
6398: PetscErrorCode DMCopyDS(DM dm, PetscInt minDegree, PetscInt maxDegree, DM newdm)
6399: {
6400: PetscInt Nds, s;
6402: PetscFunctionBegin;
6403: if (dm == newdm) PetscFunctionReturn(PETSC_SUCCESS);
6404: PetscCall(DMGetNumDS(dm, &Nds));
6405: PetscCall(DMClearDS(newdm));
6406: for (s = 0; s < Nds; ++s) {
6407: DMLabel label;
6408: IS fields;
6409: PetscDS ds, dsIn, newds;
6410: PetscInt Nbd, bd;
6412: PetscCall(DMGetRegionNumDS(dm, s, &label, &fields, &ds, &dsIn));
6413: /* TODO: We need to change all keys from labels in the old DM to labels in the new DM */
6414: PetscCall(DMTransferDS_Internal(newdm, label, fields, minDegree, maxDegree, ds, dsIn));
6415: /* Complete new labels in the new DS */
6416: PetscCall(DMGetRegionDS(newdm, label, NULL, &newds, NULL));
6417: PetscCall(PetscDSGetNumBoundary(newds, &Nbd));
6418: for (bd = 0; bd < Nbd; ++bd) {
6419: PetscWeakForm wf;
6420: DMLabel label;
6421: PetscInt field;
6423: PetscCall(PetscDSGetBoundary(newds, bd, &wf, NULL, NULL, &label, NULL, NULL, &field, NULL, NULL, NULL, NULL, NULL));
6424: PetscCall(PetscWeakFormReplaceLabel(wf, label));
6425: }
6426: }
6427: PetscCall(DMCompleteBCLabels_Internal(newdm));
6428: PetscFunctionReturn(PETSC_SUCCESS);
6429: }
6431: /*@
6432: DMCopyDisc - Copy the fields and discrete systems for the `DM` into another `DM`
6434: Collective
6436: Input Parameter:
6437: . dm - The `DM`
6439: Output Parameter:
6440: . newdm - The `DM`
6442: Level: advanced
6444: Developer Note:
6445: Really ugly name, nothing in PETSc is called a `Disc` plus it is an ugly abbreviation
6447: .seealso: [](ch_dmbase), `DM`, `DMCopyFields()`, `DMCopyDS()`
6448: @*/
6449: PetscErrorCode DMCopyDisc(DM dm, DM newdm)
6450: {
6451: PetscFunctionBegin;
6452: PetscCall(DMCopyFields(dm, PETSC_DETERMINE, PETSC_DETERMINE, newdm));
6453: PetscCall(DMCopyDS(dm, PETSC_DETERMINE, PETSC_DETERMINE, newdm));
6454: PetscFunctionReturn(PETSC_SUCCESS);
6455: }
6457: /*@
6458: DMGetDimension - Return the topological dimension of the `DM`
6460: Not Collective
6462: Input Parameter:
6463: . dm - The `DM`
6465: Output Parameter:
6466: . dim - The topological dimension
6468: Level: beginner
6470: .seealso: [](ch_dmbase), `DM`, `DMSetDimension()`, `DMCreate()`
6471: @*/
6472: PetscErrorCode DMGetDimension(DM dm, PetscInt *dim)
6473: {
6474: PetscFunctionBegin;
6476: PetscAssertPointer(dim, 2);
6477: *dim = dm->dim;
6478: PetscFunctionReturn(PETSC_SUCCESS);
6479: }
6481: /*@
6482: DMSetDimension - Set the topological dimension of the `DM`
6484: Collective
6486: Input Parameters:
6487: + dm - The `DM`
6488: - dim - The topological dimension
6490: Level: beginner
6492: .seealso: [](ch_dmbase), `DM`, `DMGetDimension()`, `DMCreate()`
6493: @*/
6494: PetscErrorCode DMSetDimension(DM dm, PetscInt dim)
6495: {
6496: PetscDS ds;
6497: PetscInt Nds, n;
6499: PetscFunctionBegin;
6502: dm->dim = dim;
6503: if (dm->dim >= 0) {
6504: PetscCall(DMGetNumDS(dm, &Nds));
6505: for (n = 0; n < Nds; ++n) {
6506: PetscCall(DMGetRegionNumDS(dm, n, NULL, NULL, &ds, NULL));
6507: if (ds->dimEmbed < 0) PetscCall(PetscDSSetCoordinateDimension(ds, dim));
6508: }
6509: }
6510: PetscFunctionReturn(PETSC_SUCCESS);
6511: }
6513: /*@
6514: DMGetDimPoints - Get the half-open interval for all points of a given dimension
6516: Collective
6518: Input Parameters:
6519: + dm - the `DM`
6520: - dim - the dimension
6522: Output Parameters:
6523: + pStart - The first point of the given dimension
6524: - pEnd - The first point following points of the given dimension
6526: Level: intermediate
6528: Note:
6529: The points are vertices in the Hasse diagram encoding the topology. This is explained in
6530: https://arxiv.org/abs/0908.4427. If no points exist of this dimension in the storage scheme,
6531: then the interval is empty.
6533: .seealso: [](ch_dmbase), `DM`, `DMPLEX`, `DMPlexGetDepthStratum()`, `DMPlexGetHeightStratum()`
6534: @*/
6535: PetscErrorCode DMGetDimPoints(DM dm, PetscInt dim, PetscInt *pStart, PetscInt *pEnd)
6536: {
6537: PetscInt d;
6539: PetscFunctionBegin;
6541: PetscCall(DMGetDimension(dm, &d));
6542: PetscCheck((dim >= 0) && (dim <= d), PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_OUTOFRANGE, "Invalid dimension %" PetscInt_FMT, dim);
6543: PetscUseTypeMethod(dm, getdimpoints, dim, pStart, pEnd);
6544: PetscFunctionReturn(PETSC_SUCCESS);
6545: }
6547: /*@
6548: DMGetOutputDM - Retrieve the `DM` associated with the layout for output
6550: Collective
6552: Input Parameter:
6553: . dm - The original `DM`
6555: Output Parameter:
6556: . odm - The `DM` which provides the layout for output
6558: Level: intermediate
6560: Note:
6561: In some situations the vector obtained with `DMCreateGlobalVector()` excludes points for degrees of freedom that are associated with fixed (Dirichelet) boundary
6562: conditions since the algebraic solver does not solve for those variables. The output `DM` includes these excluded points and its global vector contains the
6563: locations for those dof so that they can be output to a file or other viewer along with the unconstrained dof.
6565: .seealso: [](ch_dmbase), `DM`, `VecView()`, `DMGetGlobalSection()`, `DMCreateGlobalVector()`, `PetscSectionHasConstraints()`, `DMSetGlobalSection()`
6566: @*/
6567: PetscErrorCode DMGetOutputDM(DM dm, DM *odm)
6568: {
6569: PetscSection section;
6570: IS perm;
6571: PetscBool hasConstraints, newDM, gnewDM;
6572: PetscInt num_face_sfs = 0;
6574: PetscFunctionBegin;
6576: PetscAssertPointer(odm, 2);
6577: PetscCall(DMGetLocalSection(dm, §ion));
6578: PetscCall(PetscSectionHasConstraints(section, &hasConstraints));
6579: PetscCall(PetscSectionGetPermutation(section, &perm));
6580: PetscCall(DMPlexGetIsoperiodicFaceSF(dm, &num_face_sfs, NULL));
6581: newDM = hasConstraints || perm || (num_face_sfs > 0) ? PETSC_TRUE : PETSC_FALSE;
6582: PetscCallMPI(MPIU_Allreduce(&newDM, &gnewDM, 1, MPI_C_BOOL, MPI_LOR, PetscObjectComm((PetscObject)dm)));
6583: if (!gnewDM) {
6584: *odm = dm;
6585: PetscFunctionReturn(PETSC_SUCCESS);
6586: }
6587: if (!dm->dmBC) {
6588: PetscSection newSection, gsection;
6589: PetscSF sf, sfNatural;
6590: PetscBool usePerm = dm->ignorePermOutput ? PETSC_FALSE : PETSC_TRUE;
6592: PetscCall(DMClone(dm, &dm->dmBC));
6593: PetscCall(DMCopyDisc(dm, dm->dmBC));
6594: PetscCall(PetscSectionClone(section, &newSection));
6595: PetscCall(DMSetLocalSection(dm->dmBC, newSection));
6596: PetscCall(PetscSectionDestroy(&newSection));
6597: PetscCall(DMGetNaturalSF(dm, &sfNatural));
6598: PetscCall(DMSetNaturalSF(dm->dmBC, sfNatural));
6599: PetscCall(DMGetPointSF(dm->dmBC, &sf));
6600: PetscCall(PetscSectionCreateGlobalSection(section, sf, usePerm, PETSC_TRUE, PETSC_FALSE, &gsection));
6601: PetscCall(DMSetGlobalSection(dm->dmBC, gsection));
6602: PetscCall(PetscSectionDestroy(&gsection));
6603: }
6604: *odm = dm->dmBC;
6605: PetscFunctionReturn(PETSC_SUCCESS);
6606: }
6608: /*@
6609: DMGetOutputSequenceNumber - Retrieve the sequence number/value for output
6611: Input Parameter:
6612: . dm - The original `DM`
6614: Output Parameters:
6615: + num - The output sequence number
6616: - val - The output sequence value
6618: Level: intermediate
6620: Note:
6621: This is intended for output that should appear in sequence, for instance
6622: a set of timesteps in an `PETSCVIEWERHDF5` file, or a set of realizations of a stochastic system.
6624: Developer Note:
6625: The `DM` serves as a convenient place to store the current iteration value. The iteration is not
6626: not directly related to the `DM`.
6628: .seealso: [](ch_dmbase), `DM`, `VecView()`
6629: @*/
6630: PetscErrorCode DMGetOutputSequenceNumber(DM dm, PetscInt *num, PetscReal *val)
6631: {
6632: PetscFunctionBegin;
6634: if (num) {
6635: PetscAssertPointer(num, 2);
6636: *num = dm->outputSequenceNum;
6637: }
6638: if (val) {
6639: PetscAssertPointer(val, 3);
6640: *val = dm->outputSequenceVal;
6641: }
6642: PetscFunctionReturn(PETSC_SUCCESS);
6643: }
6645: /*@
6646: DMSetOutputSequenceNumber - Set the sequence number/value for output
6648: Input Parameters:
6649: + dm - The original `DM`
6650: . num - The output sequence number
6651: - val - The output sequence value
6653: Level: intermediate
6655: Note:
6656: This is intended for output that should appear in sequence, for instance
6657: a set of timesteps in an `PETSCVIEWERHDF5` file, or a set of realizations of a stochastic system.
6659: .seealso: [](ch_dmbase), `DM`, `VecView()`
6660: @*/
6661: PetscErrorCode DMSetOutputSequenceNumber(DM dm, PetscInt num, PetscReal val)
6662: {
6663: PetscFunctionBegin;
6665: dm->outputSequenceNum = num;
6666: dm->outputSequenceVal = val;
6667: PetscFunctionReturn(PETSC_SUCCESS);
6668: }
6670: /*@
6671: DMOutputSequenceLoad - Retrieve the sequence value from a `PetscViewer`
6673: Input Parameters:
6674: + dm - The original `DM`
6675: . viewer - The `PetscViewer` to get it from
6676: . name - The sequence name
6677: - num - The output sequence number
6679: Output Parameter:
6680: . val - The output sequence value
6682: Level: intermediate
6684: Note:
6685: This is intended for output that should appear in sequence, for instance
6686: a set of timesteps in an `PETSCVIEWERHDF5` file, or a set of realizations of a stochastic system.
6688: Developer Note:
6689: It is unclear at the user API level why a `DM` is needed as input
6691: .seealso: [](ch_dmbase), `DM`, `DMGetOutputSequenceNumber()`, `DMSetOutputSequenceNumber()`, `VecView()`
6692: @*/
6693: PetscErrorCode DMOutputSequenceLoad(DM dm, PetscViewer viewer, const char name[], PetscInt num, PetscReal *val)
6694: {
6695: PetscBool ishdf5;
6697: PetscFunctionBegin;
6700: PetscAssertPointer(name, 3);
6701: PetscAssertPointer(val, 5);
6702: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERHDF5, &ishdf5));
6703: PetscCheck(ishdf5, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Invalid viewer; open viewer with PetscViewerHDF5Open()");
6704: #if defined(PETSC_HAVE_HDF5)
6705: PetscScalar value;
6707: PetscCall(DMSequenceLoad_HDF5_Internal(dm, name, num, &value, viewer));
6708: *val = PetscRealPart(value);
6709: #endif
6710: PetscFunctionReturn(PETSC_SUCCESS);
6711: }
6713: /*@
6714: DMGetOutputSequenceLength - Retrieve the number of sequence values from a `PetscViewer`
6716: Input Parameters:
6717: + dm - The original `DM`
6718: . viewer - The `PetscViewer` to get it from
6719: - name - The sequence name
6721: Output Parameter:
6722: . len - The length of the output sequence
6724: Level: intermediate
6726: Note:
6727: This is intended for output that should appear in sequence, for instance
6728: a set of timesteps in an `PETSCVIEWERHDF5` file, or a set of realizations of a stochastic system.
6730: Developer Note:
6731: It is unclear at the user API level why a `DM` is needed as input
6733: .seealso: [](ch_dmbase), `DM`, `DMGetOutputSequenceNumber()`, `DMSetOutputSequenceNumber()`, `VecView()`
6734: @*/
6735: PetscErrorCode DMGetOutputSequenceLength(DM dm, PetscViewer viewer, const char name[], PetscInt *len)
6736: {
6737: PetscBool ishdf5;
6739: PetscFunctionBegin;
6742: PetscAssertPointer(name, 3);
6743: PetscAssertPointer(len, 4);
6744: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERHDF5, &ishdf5));
6745: PetscCheck(ishdf5, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Invalid viewer; open viewer with PetscViewerHDF5Open()");
6746: #if defined(PETSC_HAVE_HDF5)
6747: PetscCall(DMSequenceGetLength_HDF5_Internal(dm, name, len, viewer));
6748: #endif
6749: PetscFunctionReturn(PETSC_SUCCESS);
6750: }
6752: /*@
6753: DMGetUseNatural - Get the flag for creating a mapping to the natural order when a `DM` is (re)distributed in parallel
6755: Not Collective
6757: Input Parameter:
6758: . dm - The `DM`
6760: Output Parameter:
6761: . useNatural - `PETSC_TRUE` to build the mapping to a natural order during distribution
6763: Level: beginner
6765: .seealso: [](ch_dmbase), `DM`, `DMSetUseNatural()`, `DMCreate()`
6766: @*/
6767: PetscErrorCode DMGetUseNatural(DM dm, PetscBool *useNatural)
6768: {
6769: PetscFunctionBegin;
6771: PetscAssertPointer(useNatural, 2);
6772: *useNatural = dm->useNatural;
6773: PetscFunctionReturn(PETSC_SUCCESS);
6774: }
6776: /*@
6777: DMSetUseNatural - Set the flag for creating a mapping to the natural order when a `DM` is (re)distributed in parallel
6779: Collective
6781: Input Parameters:
6782: + dm - The `DM`
6783: - useNatural - `PETSC_TRUE` to build the mapping to a natural order during distribution
6785: Level: beginner
6787: Note:
6788: This also causes the map to be build after `DMCreateSubDM()` and `DMCreateSuperDM()`
6790: .seealso: [](ch_dmbase), `DM`, `DMGetUseNatural()`, `DMCreate()`, `DMPlexDistribute()`, `DMCreateSubDM()`, `DMCreateSuperDM()`
6791: @*/
6792: PetscErrorCode DMSetUseNatural(DM dm, PetscBool useNatural)
6793: {
6794: PetscFunctionBegin;
6797: dm->useNatural = useNatural;
6798: PetscFunctionReturn(PETSC_SUCCESS);
6799: }
6801: /*@
6802: DMCreateLabel - Create a label of the given name if it does not already exist in the `DM`
6804: Not Collective
6806: Input Parameters:
6807: + dm - The `DM` object
6808: - name - The label name
6810: Level: intermediate
6812: .seealso: [](ch_dmbase), `DM`, `DMLabelCreate()`, `DMHasLabel()`, `DMGetLabelValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
6813: @*/
6814: PetscErrorCode DMCreateLabel(DM dm, const char name[])
6815: {
6816: PetscBool flg;
6817: DMLabel label;
6819: PetscFunctionBegin;
6821: PetscAssertPointer(name, 2);
6822: PetscCall(DMHasLabel(dm, name, &flg));
6823: if (!flg) {
6824: PetscCall(DMLabelCreate(PETSC_COMM_SELF, name, &label));
6825: PetscCall(DMAddLabel(dm, label));
6826: PetscCall(DMLabelDestroy(&label));
6827: }
6828: PetscFunctionReturn(PETSC_SUCCESS);
6829: }
6831: /*@
6832: DMCreateLabelAtIndex - Create a label of the given name at the given index. If it already exists in the `DM`, move it to this index.
6834: Not Collective
6836: Input Parameters:
6837: + dm - The `DM` object
6838: . l - The index for the label
6839: - name - The label name
6841: Level: intermediate
6843: .seealso: [](ch_dmbase), `DM`, `DMCreateLabel()`, `DMLabelCreate()`, `DMHasLabel()`, `DMGetLabelValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
6844: @*/
6845: PetscErrorCode DMCreateLabelAtIndex(DM dm, PetscInt l, const char name[])
6846: {
6847: DMLabelLink orig, prev = NULL;
6848: DMLabel label;
6849: PetscInt Nl, m;
6850: PetscBool flg, match;
6851: const char *lname;
6853: PetscFunctionBegin;
6855: PetscAssertPointer(name, 3);
6856: PetscCall(DMHasLabel(dm, name, &flg));
6857: if (!flg) {
6858: PetscCall(DMLabelCreate(PETSC_COMM_SELF, name, &label));
6859: PetscCall(DMAddLabel(dm, label));
6860: PetscCall(DMLabelDestroy(&label));
6861: }
6862: PetscCall(DMGetNumLabels(dm, &Nl));
6863: PetscCheck(l < Nl, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Label index %" PetscInt_FMT " must be in [0, %" PetscInt_FMT ")", l, Nl);
6864: for (m = 0, orig = dm->labels; m < Nl; ++m, prev = orig, orig = orig->next) {
6865: PetscCall(PetscObjectGetName((PetscObject)orig->label, &lname));
6866: PetscCall(PetscStrcmp(name, lname, &match));
6867: if (match) break;
6868: }
6869: if (m == l) PetscFunctionReturn(PETSC_SUCCESS);
6870: if (!m) dm->labels = orig->next;
6871: else prev->next = orig->next;
6872: if (!l) {
6873: orig->next = dm->labels;
6874: dm->labels = orig;
6875: } else {
6876: for (m = 0, prev = dm->labels; m < l - 1; ++m, prev = prev->next);
6877: orig->next = prev->next;
6878: prev->next = orig;
6879: }
6880: PetscFunctionReturn(PETSC_SUCCESS);
6881: }
6883: /*@
6884: DMGetLabelValue - Get the value in a `DMLabel` for the given point, with -1 as the default
6886: Not Collective
6888: Input Parameters:
6889: + dm - The `DM` object
6890: . name - The label name
6891: - point - The mesh point
6893: Output Parameter:
6894: . value - The label value for this point, or -1 if the point is not in the label
6896: Level: beginner
6898: .seealso: [](ch_dmbase), `DM`, `DMLabelGetValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
6899: @*/
6900: PetscErrorCode DMGetLabelValue(DM dm, const char name[], PetscInt point, PetscInt *value)
6901: {
6902: DMLabel label;
6904: PetscFunctionBegin;
6906: PetscAssertPointer(name, 2);
6907: PetscCall(DMGetLabel(dm, name, &label));
6908: PetscCheck(label, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "No label named %s was found", name);
6909: PetscCall(DMLabelGetValue(label, point, value));
6910: PetscFunctionReturn(PETSC_SUCCESS);
6911: }
6913: /*@
6914: DMSetLabelValue - Add a point to a `DMLabel` with given value
6916: Not Collective
6918: Input Parameters:
6919: + dm - The `DM` object
6920: . name - The label name
6921: . point - The mesh point
6922: - value - The label value for this point
6924: Output Parameter:
6926: Level: beginner
6928: .seealso: [](ch_dmbase), `DM`, `DMLabelSetValue()`, `DMGetStratumIS()`, `DMClearLabelValue()`
6929: @*/
6930: PetscErrorCode DMSetLabelValue(DM dm, const char name[], PetscInt point, PetscInt value)
6931: {
6932: DMLabel label;
6934: PetscFunctionBegin;
6936: PetscAssertPointer(name, 2);
6937: PetscCall(DMGetLabel(dm, name, &label));
6938: if (!label) {
6939: PetscCall(DMCreateLabel(dm, name));
6940: PetscCall(DMGetLabel(dm, name, &label));
6941: }
6942: PetscCall(DMLabelSetValue(label, point, value));
6943: PetscFunctionReturn(PETSC_SUCCESS);
6944: }
6946: /*@
6947: DMClearLabelValue - Remove a point from a `DMLabel` with given value
6949: Not Collective
6951: Input Parameters:
6952: + dm - The `DM` object
6953: . name - The label name
6954: . point - The mesh point
6955: - value - The label value for this point
6957: Level: beginner
6959: .seealso: [](ch_dmbase), `DM`, `DMLabelClearValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
6960: @*/
6961: PetscErrorCode DMClearLabelValue(DM dm, const char name[], PetscInt point, PetscInt value)
6962: {
6963: DMLabel label;
6965: PetscFunctionBegin;
6967: PetscAssertPointer(name, 2);
6968: PetscCall(DMGetLabel(dm, name, &label));
6969: if (!label) PetscFunctionReturn(PETSC_SUCCESS);
6970: PetscCall(DMLabelClearValue(label, point, value));
6971: PetscFunctionReturn(PETSC_SUCCESS);
6972: }
6974: /*@
6975: DMGetLabelSize - Get the value of `DMLabelGetNumValues()` of a `DMLabel` in the `DM`
6977: Not Collective
6979: Input Parameters:
6980: + dm - The `DM` object
6981: - name - The label name
6983: Output Parameter:
6984: . size - The number of different integer ids, or 0 if the label does not exist
6986: Level: beginner
6988: Developer Note:
6989: This should be renamed to something like `DMGetLabelNumValues()` or removed.
6991: .seealso: [](ch_dmbase), `DM`, `DMLabelGetNumValues()`, `DMSetLabelValue()`, `DMGetLabel()`
6992: @*/
6993: PetscErrorCode DMGetLabelSize(DM dm, const char name[], PetscInt *size)
6994: {
6995: DMLabel label;
6997: PetscFunctionBegin;
6999: PetscAssertPointer(name, 2);
7000: PetscAssertPointer(size, 3);
7001: PetscCall(DMGetLabel(dm, name, &label));
7002: *size = 0;
7003: if (!label) PetscFunctionReturn(PETSC_SUCCESS);
7004: PetscCall(DMLabelGetNumValues(label, size));
7005: PetscFunctionReturn(PETSC_SUCCESS);
7006: }
7008: /*@
7009: DMGetLabelIdIS - Get the `DMLabelGetValueIS()` from a `DMLabel` in the `DM`
7011: Not Collective
7013: Input Parameters:
7014: + dm - The `DM` object
7015: - name - The label name
7017: Output Parameter:
7018: . ids - The integer ids, or `NULL` if the label does not exist
7020: Level: beginner
7022: .seealso: [](ch_dmbase), `DM`, `DMLabelGetValueIS()`, `DMGetLabelSize()`
7023: @*/
7024: PetscErrorCode DMGetLabelIdIS(DM dm, const char name[], IS *ids)
7025: {
7026: DMLabel label;
7028: PetscFunctionBegin;
7030: PetscAssertPointer(name, 2);
7031: PetscAssertPointer(ids, 3);
7032: PetscCall(DMGetLabel(dm, name, &label));
7033: *ids = NULL;
7034: if (label) {
7035: PetscCall(DMLabelGetValueIS(label, ids));
7036: } else {
7037: /* returning an empty IS */
7038: PetscCall(ISCreateGeneral(PETSC_COMM_SELF, 0, NULL, PETSC_USE_POINTER, ids));
7039: }
7040: PetscFunctionReturn(PETSC_SUCCESS);
7041: }
7043: /*@
7044: DMGetStratumSize - Get the number of points in a label stratum
7046: Not Collective
7048: Input Parameters:
7049: + dm - The `DM` object
7050: . name - The label name of the stratum
7051: - value - The stratum value
7053: Output Parameter:
7054: . size - The number of points, also called the stratum size
7056: Level: beginner
7058: .seealso: [](ch_dmbase), `DM`, `DMLabelGetStratumSize()`, `DMGetLabelSize()`, `DMGetLabelIds()`
7059: @*/
7060: PetscErrorCode DMGetStratumSize(DM dm, const char name[], PetscInt value, PetscInt *size)
7061: {
7062: DMLabel label;
7064: PetscFunctionBegin;
7066: PetscAssertPointer(name, 2);
7067: PetscAssertPointer(size, 4);
7068: PetscCall(DMGetLabel(dm, name, &label));
7069: *size = 0;
7070: if (!label) PetscFunctionReturn(PETSC_SUCCESS);
7071: PetscCall(DMLabelGetStratumSize(label, value, size));
7072: PetscFunctionReturn(PETSC_SUCCESS);
7073: }
7075: /*@
7076: DMGetStratumIS - Get the points in a label stratum
7078: Not Collective
7080: Input Parameters:
7081: + dm - The `DM` object
7082: . name - The label name
7083: - value - The stratum value
7085: Output Parameter:
7086: . points - The stratum points, or `NULL` if the label does not exist or does not have that value
7088: Level: beginner
7090: .seealso: [](ch_dmbase), `DM`, `DMLabelGetStratumIS()`, `DMGetStratumSize()`
7091: @*/
7092: PetscErrorCode DMGetStratumIS(DM dm, const char name[], PetscInt value, IS *points)
7093: {
7094: DMLabel label;
7096: PetscFunctionBegin;
7098: PetscAssertPointer(name, 2);
7099: PetscAssertPointer(points, 4);
7100: PetscCall(DMGetLabel(dm, name, &label));
7101: *points = NULL;
7102: if (!label) PetscFunctionReturn(PETSC_SUCCESS);
7103: PetscCall(DMLabelGetStratumIS(label, value, points));
7104: PetscFunctionReturn(PETSC_SUCCESS);
7105: }
7107: /*@
7108: DMSetStratumIS - Set the points in a label stratum
7110: Not Collective
7112: Input Parameters:
7113: + dm - The `DM` object
7114: . name - The label name
7115: . value - The stratum value
7116: - points - The stratum points
7118: Level: beginner
7120: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMClearLabelStratum()`, `DMLabelClearStratum()`, `DMLabelSetStratumIS()`, `DMGetStratumSize()`
7121: @*/
7122: PetscErrorCode DMSetStratumIS(DM dm, const char name[], PetscInt value, IS points)
7123: {
7124: DMLabel label;
7126: PetscFunctionBegin;
7128: PetscAssertPointer(name, 2);
7130: PetscCall(DMGetLabel(dm, name, &label));
7131: if (!label) PetscFunctionReturn(PETSC_SUCCESS);
7132: PetscCall(DMLabelSetStratumIS(label, value, points));
7133: PetscFunctionReturn(PETSC_SUCCESS);
7134: }
7136: /*@
7137: DMClearLabelStratum - Remove all points from a stratum from a `DMLabel`
7139: Not Collective
7141: Input Parameters:
7142: + dm - The `DM` object
7143: . name - The label name
7144: - value - The label value for this point
7146: Output Parameter:
7148: Level: beginner
7150: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMLabelClearStratum()`, `DMSetLabelValue()`, `DMGetStratumIS()`, `DMClearLabelValue()`
7151: @*/
7152: PetscErrorCode DMClearLabelStratum(DM dm, const char name[], PetscInt value)
7153: {
7154: DMLabel label;
7156: PetscFunctionBegin;
7158: PetscAssertPointer(name, 2);
7159: PetscCall(DMGetLabel(dm, name, &label));
7160: if (!label) PetscFunctionReturn(PETSC_SUCCESS);
7161: PetscCall(DMLabelClearStratum(label, value));
7162: PetscFunctionReturn(PETSC_SUCCESS);
7163: }
7165: /*@
7166: DMGetNumLabels - Return the number of labels defined by on the `DM`
7168: Not Collective
7170: Input Parameter:
7171: . dm - The `DM` object
7173: Output Parameter:
7174: . numLabels - the number of Labels
7176: Level: intermediate
7178: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMGetLabelByNum()`, `DMGetLabelName()`, `DMGetLabelValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
7179: @*/
7180: PetscErrorCode DMGetNumLabels(DM dm, PetscInt *numLabels)
7181: {
7182: DMLabelLink next = dm->labels;
7183: PetscInt n = 0;
7185: PetscFunctionBegin;
7187: PetscAssertPointer(numLabels, 2);
7188: while (next) {
7189: ++n;
7190: next = next->next;
7191: }
7192: *numLabels = n;
7193: PetscFunctionReturn(PETSC_SUCCESS);
7194: }
7196: /*@
7197: DMGetLabelName - Return the name of nth label
7199: Not Collective
7201: Input Parameters:
7202: + dm - The `DM` object
7203: - n - the label number
7205: Output Parameter:
7206: . name - the label name
7208: Level: intermediate
7210: Developer Note:
7211: Some of the functions that appropriate on labels using their number have the suffix ByNum, others do not.
7213: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMGetLabelByNum()`, `DMGetLabel()`, `DMGetLabelValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
7214: @*/
7215: PetscErrorCode DMGetLabelName(DM dm, PetscInt n, const char *name[])
7216: {
7217: DMLabelLink next = dm->labels;
7218: PetscInt l = 0;
7220: PetscFunctionBegin;
7222: PetscAssertPointer(name, 3);
7223: while (next) {
7224: if (l == n) {
7225: PetscCall(PetscObjectGetName((PetscObject)next->label, name));
7226: PetscFunctionReturn(PETSC_SUCCESS);
7227: }
7228: ++l;
7229: next = next->next;
7230: }
7231: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Label %" PetscInt_FMT " does not exist in this DM", n);
7232: }
7234: /*@
7235: DMHasLabel - Determine whether the `DM` has a label of a given name
7237: Not Collective
7239: Input Parameters:
7240: + dm - The `DM` object
7241: - name - The label name
7243: Output Parameter:
7244: . hasLabel - `PETSC_TRUE` if the label is present
7246: Level: intermediate
7248: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMGetLabel()`, `DMGetLabelByNum()`, `DMCreateLabel()`, `DMGetLabelValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
7249: @*/
7250: PetscErrorCode DMHasLabel(DM dm, const char name[], PetscBool *hasLabel)
7251: {
7252: DMLabelLink next = dm->labels;
7253: const char *lname;
7255: PetscFunctionBegin;
7257: PetscAssertPointer(name, 2);
7258: PetscAssertPointer(hasLabel, 3);
7259: *hasLabel = PETSC_FALSE;
7260: while (next) {
7261: PetscCall(PetscObjectGetName((PetscObject)next->label, &lname));
7262: PetscCall(PetscStrcmp(name, lname, hasLabel));
7263: if (*hasLabel) break;
7264: next = next->next;
7265: }
7266: PetscFunctionReturn(PETSC_SUCCESS);
7267: }
7269: // PetscClangLinter pragma ignore: -fdoc-section-header-unknown
7270: /*@
7271: DMGetLabel - Return the label of a given name, or `NULL`, from a `DM`
7273: Not Collective
7275: Input Parameters:
7276: + dm - The `DM` object
7277: - name - The label name
7279: Output Parameter:
7280: . label - The `DMLabel`, or `NULL` if the label is absent
7282: Default labels in a `DMPLEX`:
7283: + "depth" - Holds the depth (co-dimension) of each mesh point
7284: . "celltype" - Holds the topological type of each cell
7285: . "ghost" - If the DM is distributed with overlap, this marks the cells and faces in the overlap
7286: . "Cell Sets" - Mirrors the cell sets defined by GMsh and ExodusII
7287: . "Face Sets" - Mirrors the face sets defined by GMsh and ExodusII
7288: - "Vertex Sets" - Mirrors the vertex sets defined by GMsh
7290: Level: intermediate
7292: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMHasLabel()`, `DMGetLabelByNum()`, `DMAddLabel()`, `DMCreateLabel()`, `DMPlexGetDepthLabel()`, `DMPlexGetCellType()`
7293: @*/
7294: PetscErrorCode DMGetLabel(DM dm, const char name[], DMLabel *label)
7295: {
7296: DMLabelLink next = dm->labels;
7297: PetscBool hasLabel;
7298: const char *lname;
7300: PetscFunctionBegin;
7302: PetscAssertPointer(name, 2);
7303: PetscAssertPointer(label, 3);
7304: *label = NULL;
7305: while (next) {
7306: PetscCall(PetscObjectGetName((PetscObject)next->label, &lname));
7307: PetscCall(PetscStrcmp(name, lname, &hasLabel));
7308: if (hasLabel) {
7309: *label = next->label;
7310: break;
7311: }
7312: next = next->next;
7313: }
7314: PetscFunctionReturn(PETSC_SUCCESS);
7315: }
7317: /*@
7318: DMGetLabelByNum - Return the nth label on a `DM`
7320: Not Collective
7322: Input Parameters:
7323: + dm - The `DM` object
7324: - n - the label number
7326: Output Parameter:
7327: . label - the label
7329: Level: intermediate
7331: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMAddLabel()`, `DMGetLabelValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
7332: @*/
7333: PetscErrorCode DMGetLabelByNum(DM dm, PetscInt n, DMLabel *label)
7334: {
7335: DMLabelLink next = dm->labels;
7336: PetscInt l = 0;
7338: PetscFunctionBegin;
7340: PetscAssertPointer(label, 3);
7341: while (next) {
7342: if (l == n) {
7343: *label = next->label;
7344: PetscFunctionReturn(PETSC_SUCCESS);
7345: }
7346: ++l;
7347: next = next->next;
7348: }
7349: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Label %" PetscInt_FMT " does not exist in this DM", n);
7350: }
7352: /*@
7353: DMAddLabel - Add the label to this `DM`
7355: Not Collective
7357: Input Parameters:
7358: + dm - The `DM` object
7359: - label - The `DMLabel`
7361: Level: developer
7363: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMCreateLabel()`, `DMHasLabel()`, `DMGetLabelValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
7364: @*/
7365: PetscErrorCode DMAddLabel(DM dm, DMLabel label)
7366: {
7367: DMLabelLink l, *p, tmpLabel;
7368: PetscBool hasLabel;
7369: const char *lname;
7370: PetscBool flg;
7372: PetscFunctionBegin;
7374: PetscCall(PetscObjectGetName((PetscObject)label, &lname));
7375: PetscCall(DMHasLabel(dm, lname, &hasLabel));
7376: PetscCheck(!hasLabel, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Label %s already exists in this DM", lname);
7377: PetscCall(PetscCalloc1(1, &tmpLabel));
7378: tmpLabel->label = label;
7379: tmpLabel->output = PETSC_TRUE;
7380: for (p = &dm->labels; (l = *p); p = &l->next) { }
7381: *p = tmpLabel;
7382: PetscCall(PetscObjectReference((PetscObject)label));
7383: PetscCall(PetscStrcmp(lname, "depth", &flg));
7384: if (flg) dm->depthLabel = label;
7385: PetscCall(PetscStrcmp(lname, "celltype", &flg));
7386: if (flg) dm->celltypeLabel = label;
7387: PetscFunctionReturn(PETSC_SUCCESS);
7388: }
7390: // PetscClangLinter pragma ignore: -fdoc-section-header-unknown
7391: /*@
7392: DMSetLabel - Replaces the label of a given name, or ignores it if the name is not present
7394: Not Collective
7396: Input Parameters:
7397: + dm - The `DM` object
7398: - label - The `DMLabel`, having the same name, to substitute
7400: Default labels in a `DMPLEX`:
7401: + "depth" - Holds the depth (co-dimension) of each mesh point
7402: . "celltype" - Holds the topological type of each cell
7403: . "ghost" - If the DM is distributed with overlap, this marks the cells and faces in the overlap
7404: . "Cell Sets" - Mirrors the cell sets defined by GMsh and ExodusII
7405: . "Face Sets" - Mirrors the face sets defined by GMsh and ExodusII
7406: - "Vertex Sets" - Mirrors the vertex sets defined by GMsh
7408: Level: intermediate
7410: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMCreateLabel()`, `DMHasLabel()`, `DMPlexGetDepthLabel()`, `DMPlexGetCellType()`
7411: @*/
7412: PetscErrorCode DMSetLabel(DM dm, DMLabel label)
7413: {
7414: DMLabelLink next = dm->labels;
7415: PetscBool hasLabel, flg;
7416: const char *name, *lname;
7418: PetscFunctionBegin;
7421: PetscCall(PetscObjectGetName((PetscObject)label, &name));
7422: while (next) {
7423: PetscCall(PetscObjectGetName((PetscObject)next->label, &lname));
7424: PetscCall(PetscStrcmp(name, lname, &hasLabel));
7425: if (hasLabel) {
7426: PetscCall(PetscObjectReference((PetscObject)label));
7427: PetscCall(PetscStrcmp(lname, "depth", &flg));
7428: if (flg) dm->depthLabel = label;
7429: PetscCall(PetscStrcmp(lname, "celltype", &flg));
7430: if (flg) dm->celltypeLabel = label;
7431: PetscCall(DMLabelDestroy(&next->label));
7432: next->label = label;
7433: break;
7434: }
7435: next = next->next;
7436: }
7437: PetscFunctionReturn(PETSC_SUCCESS);
7438: }
7440: /*@
7441: DMRemoveLabel - Remove the label given by name from this `DM`
7443: Not Collective
7445: Input Parameters:
7446: + dm - The `DM` object
7447: - name - The label name
7449: Output Parameter:
7450: . label - The `DMLabel`, or `NULL` if the label is absent. Pass in `NULL` to call `DMLabelDestroy()` on the label, otherwise the
7451: caller is responsible for calling `DMLabelDestroy()`.
7453: Level: developer
7455: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMCreateLabel()`, `DMHasLabel()`, `DMGetLabel()`, `DMGetLabelValue()`, `DMSetLabelValue()`, `DMLabelDestroy()`, `DMRemoveLabelBySelf()`
7456: @*/
7457: PetscErrorCode DMRemoveLabel(DM dm, const char name[], DMLabel *label)
7458: {
7459: DMLabelLink link, *pnext;
7460: PetscBool hasLabel;
7461: const char *lname;
7463: PetscFunctionBegin;
7465: PetscAssertPointer(name, 2);
7466: if (label) {
7467: PetscAssertPointer(label, 3);
7468: *label = NULL;
7469: }
7470: for (pnext = &dm->labels; (link = *pnext); pnext = &link->next) {
7471: PetscCall(PetscObjectGetName((PetscObject)link->label, &lname));
7472: PetscCall(PetscStrcmp(name, lname, &hasLabel));
7473: if (hasLabel) {
7474: *pnext = link->next; /* Remove from list */
7475: PetscCall(PetscStrcmp(name, "depth", &hasLabel));
7476: if (hasLabel) dm->depthLabel = NULL;
7477: PetscCall(PetscStrcmp(name, "celltype", &hasLabel));
7478: if (hasLabel) dm->celltypeLabel = NULL;
7479: if (label) *label = link->label;
7480: else PetscCall(DMLabelDestroy(&link->label));
7481: PetscCall(PetscFree(link));
7482: break;
7483: }
7484: }
7485: PetscFunctionReturn(PETSC_SUCCESS);
7486: }
7488: /*@
7489: DMRemoveLabelBySelf - Remove the label from this `DM`
7491: Not Collective
7493: Input Parameters:
7494: + dm - The `DM` object
7495: . label - The `DMLabel` to be removed from the `DM`
7496: - failNotFound - Should it fail if the label is not found in the `DM`?
7498: Level: developer
7500: Note:
7501: Only exactly the same instance is removed if found, name match is ignored.
7502: If the `DM` has an exclusive reference to the label, the label gets destroyed and
7503: *label nullified.
7505: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMCreateLabel()`, `DMHasLabel()`, `DMGetLabel()` `DMGetLabelValue()`, `DMSetLabelValue()`, `DMLabelDestroy()`, `DMRemoveLabel()`
7506: @*/
7507: PetscErrorCode DMRemoveLabelBySelf(DM dm, DMLabel *label, PetscBool failNotFound)
7508: {
7509: DMLabelLink link, *pnext;
7510: PetscBool hasLabel = PETSC_FALSE;
7512: PetscFunctionBegin;
7514: PetscAssertPointer(label, 2);
7515: if (!*label && !failNotFound) PetscFunctionReturn(PETSC_SUCCESS);
7518: for (pnext = &dm->labels; (link = *pnext); pnext = &link->next) {
7519: if (*label == link->label) {
7520: hasLabel = PETSC_TRUE;
7521: *pnext = link->next; /* Remove from list */
7522: if (*label == dm->depthLabel) dm->depthLabel = NULL;
7523: if (*label == dm->celltypeLabel) dm->celltypeLabel = NULL;
7524: if (((PetscObject)link->label)->refct < 2) *label = NULL; /* nullify if exclusive reference */
7525: PetscCall(DMLabelDestroy(&link->label));
7526: PetscCall(PetscFree(link));
7527: break;
7528: }
7529: }
7530: PetscCheck(hasLabel || !failNotFound, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONG, "Given label not found in DM");
7531: PetscFunctionReturn(PETSC_SUCCESS);
7532: }
7534: /*@
7535: DMGetLabelOutput - Get the output flag for a given label
7537: Not Collective
7539: Input Parameters:
7540: + dm - The `DM` object
7541: - name - The label name
7543: Output Parameter:
7544: . output - The flag for output
7546: Level: developer
7548: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMSetLabelOutput()`, `DMCreateLabel()`, `DMHasLabel()`, `DMGetLabelValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
7549: @*/
7550: PetscErrorCode DMGetLabelOutput(DM dm, const char name[], PetscBool *output)
7551: {
7552: DMLabelLink next = dm->labels;
7553: const char *lname;
7555: PetscFunctionBegin;
7557: PetscAssertPointer(name, 2);
7558: PetscAssertPointer(output, 3);
7559: while (next) {
7560: PetscBool flg;
7562: PetscCall(PetscObjectGetName((PetscObject)next->label, &lname));
7563: PetscCall(PetscStrcmp(name, lname, &flg));
7564: if (flg) {
7565: *output = next->output;
7566: PetscFunctionReturn(PETSC_SUCCESS);
7567: }
7568: next = next->next;
7569: }
7570: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "No label named %s was present in this dm", name);
7571: }
7573: /*@
7574: DMSetLabelOutput - Set if a given label should be saved to a `PetscViewer` in calls to `DMView()`
7576: Not Collective
7578: Input Parameters:
7579: + dm - The `DM` object
7580: . name - The label name
7581: - output - `PETSC_TRUE` to save the label to the viewer
7583: Level: developer
7585: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMGetOutputFlag()`, `DMGetLabelOutput()`, `DMCreateLabel()`, `DMHasLabel()`, `DMGetLabelValue()`, `DMSetLabelValue()`, `DMGetStratumIS()`
7586: @*/
7587: PetscErrorCode DMSetLabelOutput(DM dm, const char name[], PetscBool output)
7588: {
7589: DMLabelLink next = dm->labels;
7590: const char *lname;
7592: PetscFunctionBegin;
7594: PetscAssertPointer(name, 2);
7595: while (next) {
7596: PetscBool flg;
7598: PetscCall(PetscObjectGetName((PetscObject)next->label, &lname));
7599: PetscCall(PetscStrcmp(name, lname, &flg));
7600: if (flg) {
7601: next->output = output;
7602: PetscFunctionReturn(PETSC_SUCCESS);
7603: }
7604: next = next->next;
7605: }
7606: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "No label named %s was present in this dm", name);
7607: }
7609: /*@
7610: DMCopyLabels - Copy labels from one `DM` mesh to another `DM` with a superset of the points
7612: Collective
7614: Input Parameters:
7615: + dmA - The `DM` object with initial labels
7616: . dmB - The `DM` object to which labels are copied
7617: . mode - Copy labels by pointers (`PETSC_OWN_POINTER`) or duplicate them (`PETSC_COPY_VALUES`)
7618: . all - Copy all labels including "depth", "dim", and "celltype" (`PETSC_TRUE`) which are otherwise ignored (`PETSC_FALSE`)
7619: - emode - How to behave when a `DMLabel` in the source and destination `DM`s with the same name is encountered (see `DMCopyLabelsMode`)
7621: Level: intermediate
7623: Note:
7624: This is typically used when interpolating or otherwise adding to a mesh, or testing.
7626: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMAddLabel()`, `DMCopyLabelsMode`
7627: @*/
7628: PetscErrorCode DMCopyLabels(DM dmA, DM dmB, PetscCopyMode mode, PetscBool all, DMCopyLabelsMode emode)
7629: {
7630: DMLabel label, labelNew, labelOld;
7631: const char *name;
7632: PetscBool flg;
7633: DMLabelLink link;
7635: PetscFunctionBegin;
7640: PetscCheck(mode != PETSC_USE_POINTER, PetscObjectComm((PetscObject)dmA), PETSC_ERR_SUP, "PETSC_USE_POINTER not supported for objects");
7641: if (dmA == dmB) PetscFunctionReturn(PETSC_SUCCESS);
7642: for (link = dmA->labels; link; link = link->next) {
7643: label = link->label;
7644: PetscCall(PetscObjectGetName((PetscObject)label, &name));
7645: if (!all) {
7646: PetscCall(PetscStrcmp(name, "depth", &flg));
7647: if (flg) continue;
7648: PetscCall(PetscStrcmp(name, "dim", &flg));
7649: if (flg) continue;
7650: PetscCall(PetscStrcmp(name, "celltype", &flg));
7651: if (flg) continue;
7652: }
7653: PetscCall(DMGetLabel(dmB, name, &labelOld));
7654: if (labelOld) {
7655: switch (emode) {
7656: case DM_COPY_LABELS_KEEP:
7657: continue;
7658: case DM_COPY_LABELS_REPLACE:
7659: PetscCall(DMRemoveLabelBySelf(dmB, &labelOld, PETSC_TRUE));
7660: break;
7661: case DM_COPY_LABELS_FAIL:
7662: SETERRQ(PetscObjectComm((PetscObject)dmA), PETSC_ERR_ARG_OUTOFRANGE, "Label %s already exists in destination DM", name);
7663: default:
7664: SETERRQ(PetscObjectComm((PetscObject)dmA), PETSC_ERR_ARG_OUTOFRANGE, "Unhandled DMCopyLabelsMode %d", (int)emode);
7665: }
7666: }
7667: if (mode == PETSC_COPY_VALUES) {
7668: PetscCall(DMLabelDuplicate(label, &labelNew));
7669: } else {
7670: labelNew = label;
7671: }
7672: PetscCall(DMAddLabel(dmB, labelNew));
7673: if (mode == PETSC_COPY_VALUES) PetscCall(DMLabelDestroy(&labelNew));
7674: }
7675: PetscFunctionReturn(PETSC_SUCCESS);
7676: }
7678: /*@C
7679: DMCompareLabels - Compare labels between two `DM` objects
7681: Collective; No Fortran Support
7683: Input Parameters:
7684: + dm0 - First `DM` object
7685: - dm1 - Second `DM` object
7687: Output Parameters:
7688: + equal - (Optional) Flag whether labels of `dm0` and `dm1` are the same
7689: - message - (Optional) Message describing the difference, or `NULL` if there is no difference
7691: Level: intermediate
7693: Notes:
7694: The output flag equal will be the same on all processes.
7696: If equal is passed as `NULL` and difference is found, an error is thrown on all processes.
7698: Make sure to pass equal is `NULL` on all processes or none of them.
7700: The output message is set independently on each rank.
7702: message must be freed with `PetscFree()`
7704: If message is passed as `NULL` and a difference is found, the difference description is printed to `stderr` in synchronized manner.
7706: Make sure to pass message as `NULL` on all processes or no processes.
7708: Labels are matched by name. If the number of labels and their names are equal,
7709: `DMLabelCompare()` is used to compare each pair of labels with the same name.
7711: Developer Note:
7712: Cannot automatically generate the Fortran stub because `message` must be freed with `PetscFree()`
7714: .seealso: [](ch_dmbase), `DM`, `DMLabel`, `DMAddLabel()`, `DMCopyLabelsMode`, `DMLabelCompare()`
7715: @*/
7716: PetscErrorCode DMCompareLabels(DM dm0, DM dm1, PetscBool *equal, char *message[]) PeNS
7717: {
7718: PetscInt n, i;
7719: char msg[PETSC_MAX_PATH_LEN] = "";
7720: PetscBool eq;
7721: MPI_Comm comm;
7722: PetscMPIInt rank;
7724: PetscFunctionBegin;
7727: PetscCheckSameComm(dm0, 1, dm1, 2);
7728: if (equal) PetscAssertPointer(equal, 3);
7729: if (message) PetscAssertPointer(message, 4);
7730: PetscCall(PetscObjectGetComm((PetscObject)dm0, &comm));
7731: PetscCallMPI(MPI_Comm_rank(comm, &rank));
7732: {
7733: PetscInt n1;
7735: PetscCall(DMGetNumLabels(dm0, &n));
7736: PetscCall(DMGetNumLabels(dm1, &n1));
7737: eq = (PetscBool)(n == n1);
7738: if (!eq) PetscCall(PetscSNPrintf(msg, sizeof(msg), "Number of labels in dm0 = %" PetscInt_FMT " != %" PetscInt_FMT " = Number of labels in dm1", n, n1));
7739: PetscCallMPI(MPIU_Allreduce(MPI_IN_PLACE, &eq, 1, MPI_C_BOOL, MPI_LAND, comm));
7740: if (!eq) goto finish;
7741: }
7742: for (i = 0; i < n; i++) {
7743: DMLabel l0, l1;
7744: const char *name;
7745: char *msgInner;
7747: /* Ignore label order */
7748: PetscCall(DMGetLabelByNum(dm0, i, &l0));
7749: PetscCall(PetscObjectGetName((PetscObject)l0, &name));
7750: PetscCall(DMGetLabel(dm1, name, &l1));
7751: if (!l1) {
7752: PetscCall(PetscSNPrintf(msg, sizeof(msg), "Label \"%s\" (#%" PetscInt_FMT " in dm0) not found in dm1", name, i));
7753: eq = PETSC_FALSE;
7754: break;
7755: }
7756: PetscCall(DMLabelCompare(comm, l0, l1, &eq, &msgInner));
7757: PetscCall(PetscStrncpy(msg, msgInner, sizeof(msg)));
7758: PetscCall(PetscFree(msgInner));
7759: if (!eq) break;
7760: }
7761: PetscCallMPI(MPIU_Allreduce(MPI_IN_PLACE, &eq, 1, MPI_C_BOOL, MPI_LAND, comm));
7762: finish:
7763: /* If message output arg not set, print to stderr */
7764: if (message) {
7765: *message = NULL;
7766: if (msg[0]) PetscCall(PetscStrallocpy(msg, message));
7767: } else {
7768: if (msg[0]) PetscCall(PetscSynchronizedFPrintf(comm, PETSC_STDERR, "[%d] %s\n", rank, msg));
7769: PetscCall(PetscSynchronizedFlush(comm, PETSC_STDERR));
7770: }
7771: /* If same output arg not ser and labels are not equal, throw error */
7772: if (equal) *equal = eq;
7773: else PetscCheck(eq, comm, PETSC_ERR_ARG_INCOMP, "DMLabels are not the same in dm0 and dm1");
7774: PetscFunctionReturn(PETSC_SUCCESS);
7775: }
7777: PetscErrorCode DMSetLabelValue_Fast(DM dm, DMLabel *label, const char name[], PetscInt point, PetscInt value)
7778: {
7779: PetscFunctionBegin;
7780: PetscAssertPointer(label, 2);
7781: if (!*label) {
7782: PetscCall(DMCreateLabel(dm, name));
7783: PetscCall(DMGetLabel(dm, name, label));
7784: }
7785: PetscCall(DMLabelSetValue(*label, point, value));
7786: PetscFunctionReturn(PETSC_SUCCESS);
7787: }
7789: /*
7790: Many mesh programs, such as Triangle and TetGen, allow only a single label for each mesh point. Therefore, we would
7791: like to encode all label IDs using a single, universal label. We can do this by assigning an integer to every
7792: (label, id) pair in the DM.
7794: However, a mesh point can have multiple labels, so we must separate all these values. We will assign a bit range to
7795: each label.
7796: */
7797: PetscErrorCode DMUniversalLabelCreate(DM dm, DMUniversalLabel *universal)
7798: {
7799: DMUniversalLabel ul;
7800: PetscBool *active;
7801: PetscInt pStart, pEnd, p, Nl, l, m;
7803: PetscFunctionBegin;
7804: PetscCall(PetscMalloc1(1, &ul));
7805: PetscCall(DMLabelCreate(PETSC_COMM_SELF, "universal", &ul->label));
7806: PetscCall(DMGetNumLabels(dm, &Nl));
7807: PetscCall(PetscCalloc1(Nl, &active));
7808: ul->Nl = 0;
7809: for (l = 0; l < Nl; ++l) {
7810: PetscBool isdepth, iscelltype;
7811: const char *name;
7813: PetscCall(DMGetLabelName(dm, l, &name));
7814: PetscCall(PetscStrncmp(name, "depth", 6, &isdepth));
7815: PetscCall(PetscStrncmp(name, "celltype", 9, &iscelltype));
7816: active[l] = !(isdepth || iscelltype) ? PETSC_TRUE : PETSC_FALSE;
7817: if (active[l]) ++ul->Nl;
7818: }
7819: PetscCall(PetscCalloc5(ul->Nl, &ul->names, ul->Nl, &ul->indices, ul->Nl + 1, &ul->offsets, ul->Nl + 1, &ul->bits, ul->Nl, &ul->masks));
7820: ul->Nv = 0;
7821: for (l = 0, m = 0; l < Nl; ++l) {
7822: DMLabel label;
7823: PetscInt nv;
7824: const char *name;
7826: if (!active[l]) continue;
7827: PetscCall(DMGetLabelName(dm, l, &name));
7828: PetscCall(DMGetLabelByNum(dm, l, &label));
7829: PetscCall(DMLabelGetNumValues(label, &nv));
7830: PetscCall(PetscStrallocpy(name, &ul->names[m]));
7831: ul->indices[m] = l;
7832: ul->Nv += nv;
7833: ul->offsets[m + 1] = nv;
7834: ul->bits[m + 1] = PetscCeilReal(PetscLog2Real(nv + 1));
7835: ++m;
7836: }
7837: for (l = 1; l <= ul->Nl; ++l) {
7838: ul->offsets[l] = ul->offsets[l - 1] + ul->offsets[l];
7839: ul->bits[l] = ul->bits[l - 1] + ul->bits[l];
7840: }
7841: for (l = 0; l < ul->Nl; ++l) {
7842: PetscInt b;
7844: ul->masks[l] = 0;
7845: for (b = ul->bits[l]; b < ul->bits[l + 1]; ++b) ul->masks[l] |= 1 << b;
7846: }
7847: PetscCall(PetscMalloc1(ul->Nv, &ul->values));
7848: for (l = 0, m = 0; l < Nl; ++l) {
7849: DMLabel label;
7850: IS valueIS;
7851: const PetscInt *varr;
7852: PetscInt nv, v;
7854: if (!active[l]) continue;
7855: PetscCall(DMGetLabelByNum(dm, l, &label));
7856: PetscCall(DMLabelGetNumValues(label, &nv));
7857: PetscCall(DMLabelGetValueIS(label, &valueIS));
7858: PetscCall(ISGetIndices(valueIS, &varr));
7859: for (v = 0; v < nv; ++v) ul->values[ul->offsets[m] + v] = varr[v];
7860: PetscCall(ISRestoreIndices(valueIS, &varr));
7861: PetscCall(ISDestroy(&valueIS));
7862: PetscCall(PetscSortInt(nv, &ul->values[ul->offsets[m]]));
7863: ++m;
7864: }
7865: PetscCall(DMPlexGetChart(dm, &pStart, &pEnd));
7866: for (p = pStart; p < pEnd; ++p) {
7867: PetscInt uval = 0;
7868: PetscBool marked = PETSC_FALSE;
7870: for (l = 0, m = 0; l < Nl; ++l) {
7871: DMLabel label;
7872: PetscInt val, defval, loc, nv;
7874: if (!active[l]) continue;
7875: PetscCall(DMGetLabelByNum(dm, l, &label));
7876: PetscCall(DMLabelGetValue(label, p, &val));
7877: PetscCall(DMLabelGetDefaultValue(label, &defval));
7878: if (val == defval) {
7879: ++m;
7880: continue;
7881: }
7882: nv = ul->offsets[m + 1] - ul->offsets[m];
7883: marked = PETSC_TRUE;
7884: PetscCall(PetscFindInt(val, nv, &ul->values[ul->offsets[m]], &loc));
7885: PetscCheck(loc >= 0, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Label value %" PetscInt_FMT " not found in compression array", val);
7886: uval += (loc + 1) << ul->bits[m];
7887: ++m;
7888: }
7889: if (marked) PetscCall(DMLabelSetValue(ul->label, p, uval));
7890: }
7891: PetscCall(PetscFree(active));
7892: *universal = ul;
7893: PetscFunctionReturn(PETSC_SUCCESS);
7894: }
7896: PetscErrorCode DMUniversalLabelDestroy(DMUniversalLabel *universal)
7897: {
7898: PetscInt l;
7900: PetscFunctionBegin;
7901: for (l = 0; l < (*universal)->Nl; ++l) PetscCall(PetscFree((*universal)->names[l]));
7902: PetscCall(DMLabelDestroy(&(*universal)->label));
7903: PetscCall(PetscFree5((*universal)->names, (*universal)->indices, (*universal)->offsets, (*universal)->bits, (*universal)->masks));
7904: PetscCall(PetscFree((*universal)->values));
7905: PetscCall(PetscFree(*universal));
7906: *universal = NULL;
7907: PetscFunctionReturn(PETSC_SUCCESS);
7908: }
7910: PetscErrorCode DMUniversalLabelGetLabel(DMUniversalLabel ul, DMLabel *ulabel)
7911: {
7912: PetscFunctionBegin;
7913: PetscAssertPointer(ulabel, 2);
7914: *ulabel = ul->label;
7915: PetscFunctionReturn(PETSC_SUCCESS);
7916: }
7918: PetscErrorCode DMUniversalLabelCreateLabels(DMUniversalLabel ul, PetscBool preserveOrder, DM dm)
7919: {
7920: PetscInt Nl = ul->Nl, l;
7922: PetscFunctionBegin;
7924: for (l = 0; l < Nl; ++l) {
7925: if (preserveOrder) PetscCall(DMCreateLabelAtIndex(dm, ul->indices[l], ul->names[l]));
7926: else PetscCall(DMCreateLabel(dm, ul->names[l]));
7927: }
7928: if (preserveOrder) {
7929: for (l = 0; l < ul->Nl; ++l) {
7930: const char *name;
7931: PetscBool match;
7933: PetscCall(DMGetLabelName(dm, ul->indices[l], &name));
7934: PetscCall(PetscStrcmp(name, ul->names[l], &match));
7935: PetscCheck(match, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONG, "Label %" PetscInt_FMT " name %s does not match new name %s", l, name, ul->names[l]);
7936: }
7937: }
7938: PetscFunctionReturn(PETSC_SUCCESS);
7939: }
7941: PetscErrorCode DMUniversalLabelSetLabelValue(DMUniversalLabel ul, DM dm, PetscBool useIndex, PetscInt p, PetscInt value)
7942: {
7943: PetscInt l;
7945: PetscFunctionBegin;
7946: for (l = 0; l < ul->Nl; ++l) {
7947: DMLabel label;
7948: PetscInt lval = (value & ul->masks[l]) >> ul->bits[l];
7950: if (lval) {
7951: if (useIndex) PetscCall(DMGetLabelByNum(dm, ul->indices[l], &label));
7952: else PetscCall(DMGetLabel(dm, ul->names[l], &label));
7953: PetscCall(DMLabelSetValue(label, p, ul->values[ul->offsets[l] + lval - 1]));
7954: }
7955: }
7956: PetscFunctionReturn(PETSC_SUCCESS);
7957: }
7959: /*@
7960: DMGetCoarseDM - Get the coarse `DM`from which this `DM` was obtained by refinement
7962: Not Collective
7964: Input Parameter:
7965: . dm - The `DM` object
7967: Output Parameter:
7968: . cdm - The coarse `DM`
7970: Level: intermediate
7972: .seealso: [](ch_dmbase), `DM`, `DMSetCoarseDM()`, `DMCoarsen()`
7973: @*/
7974: PetscErrorCode DMGetCoarseDM(DM dm, DM *cdm)
7975: {
7976: PetscFunctionBegin;
7978: PetscAssertPointer(cdm, 2);
7979: *cdm = dm->coarseMesh;
7980: PetscFunctionReturn(PETSC_SUCCESS);
7981: }
7983: /*@
7984: DMSetCoarseDM - Set the coarse `DM` from which this `DM` was obtained by refinement
7986: Input Parameters:
7987: + dm - The `DM` object
7988: - cdm - The coarse `DM`
7990: Level: intermediate
7992: Note:
7993: Normally this is set automatically by `DMRefine()`
7995: .seealso: [](ch_dmbase), `DM`, `DMGetCoarseDM()`, `DMCoarsen()`, `DMSetRefine()`, `DMSetFineDM()`
7996: @*/
7997: PetscErrorCode DMSetCoarseDM(DM dm, DM cdm)
7998: {
7999: PetscFunctionBegin;
8002: if (dm == cdm) cdm = NULL;
8003: PetscCall(PetscObjectReference((PetscObject)cdm));
8004: PetscCall(DMDestroy(&dm->coarseMesh));
8005: dm->coarseMesh = cdm;
8006: PetscFunctionReturn(PETSC_SUCCESS);
8007: }
8009: /*@
8010: DMGetFineDM - Get the fine mesh from which this `DM` was obtained by coarsening
8012: Input Parameter:
8013: . dm - The `DM` object
8015: Output Parameter:
8016: . fdm - The fine `DM`
8018: Level: intermediate
8020: .seealso: [](ch_dmbase), `DM`, `DMSetFineDM()`, `DMCoarsen()`, `DMRefine()`
8021: @*/
8022: PetscErrorCode DMGetFineDM(DM dm, DM *fdm)
8023: {
8024: PetscFunctionBegin;
8026: PetscAssertPointer(fdm, 2);
8027: *fdm = dm->fineMesh;
8028: PetscFunctionReturn(PETSC_SUCCESS);
8029: }
8031: /*@
8032: DMSetFineDM - Set the fine mesh from which this was obtained by coarsening
8034: Input Parameters:
8035: + dm - The `DM` object
8036: - fdm - The fine `DM`
8038: Level: developer
8040: Note:
8041: Normally this is set automatically by `DMCoarsen()`
8043: .seealso: [](ch_dmbase), `DM`, `DMGetFineDM()`, `DMCoarsen()`, `DMRefine()`
8044: @*/
8045: PetscErrorCode DMSetFineDM(DM dm, DM fdm)
8046: {
8047: PetscFunctionBegin;
8050: if (dm == fdm) fdm = NULL;
8051: PetscCall(PetscObjectReference((PetscObject)fdm));
8052: PetscCall(DMDestroy(&dm->fineMesh));
8053: dm->fineMesh = fdm;
8054: PetscFunctionReturn(PETSC_SUCCESS);
8055: }
8057: /*@C
8058: DMAddBoundary - Add a boundary condition, for a single field, to a model represented by a `DM`
8060: Collective
8062: Input Parameters:
8063: + dm - The `DM`, with a `PetscDS` that matches the problem being constrained
8064: . type - The type of condition, e.g. `DM_BC_ESSENTIAL_ANALYTIC`, `DM_BC_ESSENTIAL_FIELD` (Dirichlet), or `DM_BC_NATURAL` (Neumann)
8065: . name - The BC name
8066: . label - The label defining constrained points
8067: . Nv - The number of `DMLabel` values for constrained points
8068: . values - An array of values for constrained points
8069: . field - The field to constrain
8070: . Nc - The number of constrained field components (0 will constrain all components)
8071: . comps - An array of constrained component numbers
8072: . bcFunc - A pointwise function giving boundary values
8073: . bcFunc_t - A pointwise function giving the time derivative of the boundary values, or `NULL`
8074: - ctx - An optional user context for bcFunc
8076: Output Parameter:
8077: . bd - (Optional) Boundary number
8079: Options Database Keys:
8080: + -bc_<boundary name> <num> - Overrides the boundary ids
8081: - -bc_<boundary name>_comp <num> - Overrides the boundary components
8083: Level: intermediate
8085: Notes:
8086: If the `DM` is of type `DMPLEX` and the field is of type `PetscFE`, then this function completes the label using `DMPlexLabelComplete()`.
8088: Both bcFunc and bcFunc_t will depend on the boundary condition type. If the type if `DM_BC_ESSENTIAL`, then the calling sequence is\:
8089: .vb
8090: void bcFunc(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar bcval[])
8091: .ve
8093: If the type is `DM_BC_ESSENTIAL_FIELD` or other _FIELD value, then the calling sequence is\:
8095: .vb
8096: void bcFunc(PetscInt dim, PetscInt Nf, PetscInt NfAux,
8097: const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[],
8098: const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[],
8099: PetscReal time, const PetscReal x[], PetscScalar bcval[])
8100: .ve
8101: + dim - the spatial dimension
8102: . Nf - the number of fields
8103: . uOff - the offset into u[] and u_t[] for each field
8104: . uOff_x - the offset into u_x[] for each field
8105: . u - each field evaluated at the current point
8106: . u_t - the time derivative of each field evaluated at the current point
8107: . u_x - the gradient of each field evaluated at the current point
8108: . aOff - the offset into a[] and a_t[] for each auxiliary field
8109: . aOff_x - the offset into a_x[] for each auxiliary field
8110: . a - each auxiliary field evaluated at the current point
8111: . a_t - the time derivative of each auxiliary field evaluated at the current point
8112: . a_x - the gradient of auxiliary each field evaluated at the current point
8113: . t - current time
8114: . x - coordinates of the current point
8115: . numConstants - number of constant parameters
8116: . constants - constant parameters
8117: - bcval - output values at the current point
8119: .seealso: [](ch_dmbase), `DM`, `DSGetBoundary()`, `PetscDSAddBoundary()`
8120: @*/
8121: PetscErrorCode DMAddBoundary(DM dm, DMBoundaryConditionType type, const char name[], DMLabel label, PetscInt Nv, const PetscInt values[], PetscInt field, PetscInt Nc, const PetscInt comps[], PetscVoidFn *bcFunc, PetscVoidFn *bcFunc_t, PetscCtx ctx, PetscInt *bd)
8122: {
8123: PetscDS ds;
8125: PetscFunctionBegin;
8132: PetscCheck(!dm->localSection, PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONGSTATE, "Cannot add boundary to DM after creating local section");
8133: PetscCall(DMGetDS(dm, &ds));
8134: /* Complete label */
8135: if (label) {
8136: PetscObject obj;
8137: PetscClassId id;
8139: PetscCall(DMGetField(dm, field, NULL, &obj));
8140: PetscCall(PetscObjectGetClassId(obj, &id));
8141: if (id == PETSCFE_CLASSID) {
8142: DM plex;
8144: PetscCall(DMConvert(dm, DMPLEX, &plex));
8145: if (plex) PetscCall(DMPlexLabelComplete(plex, label));
8146: PetscCall(DMDestroy(&plex));
8147: }
8148: }
8149: PetscCall(PetscDSAddBoundary(ds, type, name, label, Nv, values, field, Nc, comps, bcFunc, bcFunc_t, ctx, bd));
8150: PetscFunctionReturn(PETSC_SUCCESS);
8151: }
8153: /* TODO Remove this since now the structures are the same */
8154: static PetscErrorCode DMPopulateBoundary(DM dm)
8155: {
8156: PetscDS ds;
8157: DMBoundary *lastnext;
8158: DSBoundary dsbound;
8160: PetscFunctionBegin;
8161: PetscCall(DMGetDS(dm, &ds));
8162: dsbound = ds->boundary;
8163: if (dm->boundary) {
8164: DMBoundary next = dm->boundary;
8166: /* quick check to see if the PetscDS has changed */
8167: if (next->dsboundary == dsbound) PetscFunctionReturn(PETSC_SUCCESS);
8168: /* the PetscDS has changed: tear down and rebuild */
8169: while (next) {
8170: DMBoundary b = next;
8172: next = b->next;
8173: PetscCall(PetscFree(b));
8174: }
8175: dm->boundary = NULL;
8176: }
8178: lastnext = &dm->boundary;
8179: while (dsbound) {
8180: DMBoundary dmbound;
8182: PetscCall(PetscNew(&dmbound));
8183: dmbound->dsboundary = dsbound;
8184: dmbound->label = dsbound->label;
8185: /* push on the back instead of the front so that it is in the same order as in the PetscDS */
8186: *lastnext = dmbound;
8187: lastnext = &dmbound->next;
8188: dsbound = dsbound->next;
8189: }
8190: PetscFunctionReturn(PETSC_SUCCESS);
8191: }
8193: /* TODO: missing manual page */
8194: PetscErrorCode DMIsBoundaryPoint(DM dm, PetscInt point, PetscBool *isBd)
8195: {
8196: DMBoundary b;
8198: PetscFunctionBegin;
8200: PetscAssertPointer(isBd, 3);
8201: *isBd = PETSC_FALSE;
8202: PetscCall(DMPopulateBoundary(dm));
8203: b = dm->boundary;
8204: while (b && !*isBd) {
8205: DMLabel label = b->label;
8206: DSBoundary dsb = b->dsboundary;
8207: PetscInt i;
8209: if (label) {
8210: for (i = 0; i < dsb->Nv && !*isBd; ++i) PetscCall(DMLabelStratumHasPoint(label, dsb->values[i], point, isBd));
8211: }
8212: b = b->next;
8213: }
8214: PetscFunctionReturn(PETSC_SUCCESS);
8215: }
8217: /*@
8218: DMHasBound - Determine whether a bound condition was specified
8220: Logically collective
8222: Input Parameter:
8223: . dm - The `DM`, with a `PetscDS` that matches the problem being constrained
8225: Output Parameter:
8226: . hasBound - Flag indicating if a bound condition was specified
8228: Level: intermediate
8230: .seealso: [](ch_dmbase), `DM`, `DSAddBoundary()`, `PetscDSAddBoundary()`
8231: @*/
8232: PetscErrorCode DMHasBound(DM dm, PetscBool *hasBound)
8233: {
8234: PetscDS ds;
8235: PetscInt Nf, numBd;
8237: PetscFunctionBegin;
8238: *hasBound = PETSC_FALSE;
8239: PetscCall(DMGetDS(dm, &ds));
8240: PetscCall(PetscDSGetNumFields(ds, &Nf));
8241: for (PetscInt f = 0; f < Nf; ++f) {
8242: PetscSimplePointFn *lfunc, *ufunc;
8244: PetscCall(PetscDSGetLowerBound(ds, f, &lfunc, NULL));
8245: PetscCall(PetscDSGetUpperBound(ds, f, &ufunc, NULL));
8246: if (lfunc || ufunc) *hasBound = PETSC_TRUE;
8247: }
8249: PetscCall(PetscDSGetNumBoundary(ds, &numBd));
8250: PetscCall(PetscDSUpdateBoundaryLabels(ds, dm));
8251: for (PetscInt b = 0; b < numBd; ++b) {
8252: PetscWeakForm wf;
8253: DMBoundaryConditionType type;
8254: const char *name;
8255: DMLabel label;
8256: PetscInt numids;
8257: const PetscInt *ids;
8258: PetscInt field, Nc;
8259: const PetscInt *comps;
8260: PetscVoidFn *bvfunc;
8261: void *ctx;
8263: PetscCall(PetscDSGetBoundary(ds, b, &wf, &type, &name, &label, &numids, &ids, &field, &Nc, &comps, &bvfunc, NULL, &ctx));
8264: if (type == DM_BC_LOWER_BOUND || type == DM_BC_UPPER_BOUND) *hasBound = PETSC_TRUE;
8265: }
8266: PetscFunctionReturn(PETSC_SUCCESS);
8267: }
8269: /*@C
8270: DMProjectFunction - This projects the given function into the function space provided by a `DM`, putting the coefficients in a global vector.
8272: Collective
8274: Input Parameters:
8275: + dm - The `DM`
8276: . time - The time
8277: . funcs - The coordinate functions to evaluate, one per field
8278: . ctxs - Optional array of contexts to pass to each coordinate function. ctxs itself may be null.
8279: - mode - The insertion mode for values
8281: Output Parameter:
8282: . X - vector
8284: Calling sequence of `funcs`:
8285: + dim - The spatial dimension
8286: . time - The time at which to sample
8287: . x - The coordinates
8288: . Nc - The number of components
8289: . u - The output field values
8290: - ctx - optional function context
8292: Level: developer
8294: Developer Notes:
8295: This API is specific to only particular usage of `DM`
8297: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8299: .seealso: [](ch_dmbase), `DM`, `DMProjectFunctionLocal()`, `DMProjectFunctionLabel()`, `DMComputeL2Diff()`
8300: @*/
8301: PetscErrorCode DMProjectFunction(DM dm, PetscReal time, PetscErrorCode (**funcs)(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx), void **ctxs, InsertMode mode, Vec X)
8302: {
8303: Vec localX;
8305: PetscFunctionBegin;
8307: PetscCall(PetscLogEventBegin(DM_ProjectFunction, dm, X, 0, 0));
8308: PetscCall(DMGetLocalVector(dm, &localX));
8309: PetscCall(VecSet(localX, 0.));
8310: PetscCall(DMProjectFunctionLocal(dm, time, funcs, ctxs, mode, localX));
8311: PetscCall(DMLocalToGlobalBegin(dm, localX, mode, X));
8312: PetscCall(DMLocalToGlobalEnd(dm, localX, mode, X));
8313: PetscCall(DMRestoreLocalVector(dm, &localX));
8314: PetscCall(PetscLogEventEnd(DM_ProjectFunction, dm, X, 0, 0));
8315: PetscFunctionReturn(PETSC_SUCCESS);
8316: }
8318: /*@C
8319: DMProjectFunctionLocal - This projects the given function into the function space provided by a `DM`, putting the coefficients in a local vector.
8321: Not Collective
8323: Input Parameters:
8324: + dm - The `DM`
8325: . time - The time
8326: . funcs - The coordinate functions to evaluate, one per field
8327: . ctxs - Optional array of contexts to pass to each coordinate function. ctxs itself may be null.
8328: - mode - The insertion mode for values
8330: Output Parameter:
8331: . localX - vector
8333: Calling sequence of `funcs`:
8334: + dim - The spatial dimension
8335: . time - The current timestep
8336: . x - The coordinates
8337: . Nc - The number of components
8338: . u - The output field values
8339: - ctx - optional function context
8341: Level: developer
8343: Developer Notes:
8344: This API is specific to only particular usage of `DM`
8346: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8348: .seealso: [](ch_dmbase), `DM`, `DMProjectFunction()`, `DMProjectFunctionLabel()`, `DMComputeL2Diff()`
8349: @*/
8350: PetscErrorCode DMProjectFunctionLocal(DM dm, PetscReal time, PetscErrorCode (**funcs)(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx), void **ctxs, InsertMode mode, Vec localX)
8351: {
8352: PetscFunctionBegin;
8355: PetscUseTypeMethod(dm, projectfunctionlocal, time, funcs, ctxs, mode, localX);
8356: PetscFunctionReturn(PETSC_SUCCESS);
8357: }
8359: /*@C
8360: DMProjectFunctionLabel - This projects the given function into the function space provided by the `DM`, putting the coefficients in a global vector, setting values only for points in the given label.
8362: Collective
8364: Input Parameters:
8365: + dm - The `DM`
8366: . time - The time
8367: . numIds - The number of ids
8368: . ids - The ids
8369: . Nc - The number of components
8370: . comps - The components
8371: . label - The `DMLabel` selecting the portion of the mesh for projection
8372: . funcs - The coordinate functions to evaluate, one per field
8373: . ctxs - Optional array of contexts to pass to each coordinate function. ctxs may be null.
8374: - mode - The insertion mode for values
8376: Output Parameter:
8377: . X - vector
8379: Calling sequence of `funcs`:
8380: + dim - The spatial dimension
8381: . time - The current timestep
8382: . x - The coordinates
8383: . Nc - The number of components
8384: . u - The output field values
8385: - ctx - optional function context
8387: Level: developer
8389: Developer Notes:
8390: This API is specific to only particular usage of `DM`
8392: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8394: .seealso: [](ch_dmbase), `DM`, `DMProjectFunction()`, `DMProjectFunctionLocal()`, `DMProjectFunctionLabelLocal()`, `DMComputeL2Diff()`
8395: @*/
8396: PetscErrorCode DMProjectFunctionLabel(DM dm, PetscReal time, DMLabel label, PetscInt numIds, const PetscInt ids[], PetscInt Nc, const PetscInt comps[], PetscErrorCode (**funcs)(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx), void **ctxs, InsertMode mode, Vec X)
8397: {
8398: Vec localX;
8400: PetscFunctionBegin;
8402: PetscCall(DMGetLocalVector(dm, &localX));
8403: PetscCall(VecSet(localX, 0.));
8404: PetscCall(DMProjectFunctionLabelLocal(dm, time, label, numIds, ids, Nc, comps, funcs, ctxs, mode, localX));
8405: PetscCall(DMLocalToGlobalBegin(dm, localX, mode, X));
8406: PetscCall(DMLocalToGlobalEnd(dm, localX, mode, X));
8407: PetscCall(DMRestoreLocalVector(dm, &localX));
8408: PetscFunctionReturn(PETSC_SUCCESS);
8409: }
8411: /*@C
8412: DMProjectFunctionLabelLocal - This projects the given function into the function space provided by the `DM`, putting the coefficients in a local vector, setting values only for points in the given label.
8414: Not Collective
8416: Input Parameters:
8417: + dm - The `DM`
8418: . time - The time
8419: . label - The `DMLabel` selecting the portion of the mesh for projection
8420: . numIds - The number of ids
8421: . ids - The ids
8422: . Nc - The number of components
8423: . comps - The components
8424: . funcs - The coordinate functions to evaluate, one per field
8425: . ctxs - Optional array of contexts to pass to each coordinate function. ctxs itself may be null.
8426: - mode - The insertion mode for values
8428: Output Parameter:
8429: . localX - vector
8431: Calling sequence of `funcs`:
8432: + dim - The spatial dimension
8433: . time - The current time
8434: . x - The coordinates
8435: . Nc - The number of components
8436: . u - The output field values
8437: - ctx - optional function context
8439: Level: developer
8441: Developer Notes:
8442: This API is specific to only particular usage of `DM`
8444: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8446: .seealso: [](ch_dmbase), `DM`, `DMProjectFunction()`, `DMProjectFunctionLocal()`, `DMProjectFunctionLabel()`, `DMComputeL2Diff()`
8447: @*/
8448: PetscErrorCode DMProjectFunctionLabelLocal(DM dm, PetscReal time, DMLabel label, PetscInt numIds, const PetscInt ids[], PetscInt Nc, const PetscInt comps[], PetscErrorCode (**funcs)(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, PetscCtx ctx), void **ctxs, InsertMode mode, Vec localX)
8449: {
8450: PetscFunctionBegin;
8453: PetscUseTypeMethod(dm, projectfunctionlabellocal, time, label, numIds, ids, Nc, comps, funcs, ctxs, mode, localX);
8454: PetscFunctionReturn(PETSC_SUCCESS);
8455: }
8457: /*@C
8458: DMProjectFieldLocal - This projects the given function of the input fields into the function space provided by the `DM`, putting the coefficients in a local vector.
8460: Not Collective
8462: Input Parameters:
8463: + dm - The `DM`
8464: . time - The time
8465: . localU - The input field vector; may be `NULL` if projection is defined purely by coordinates
8466: . funcs - The functions to evaluate, one per field
8467: - mode - The insertion mode for values
8469: Output Parameter:
8470: . localX - The output vector
8472: Calling sequence of `funcs`:
8473: + dim - The spatial dimension
8474: . Nf - The number of input fields
8475: . NfAux - The number of input auxiliary fields
8476: . uOff - The offset of each field in u[]
8477: . uOff_x - The offset of each field in u_x[]
8478: . u - The field values at this point in space
8479: . u_t - The field time derivative at this point in space (or `NULL`)
8480: . u_x - The field derivatives at this point in space
8481: . aOff - The offset of each auxiliary field in u[]
8482: . aOff_x - The offset of each auxiliary field in u_x[]
8483: . a - The auxiliary field values at this point in space
8484: . a_t - The auxiliary field time derivative at this point in space (or `NULL`)
8485: . a_x - The auxiliary field derivatives at this point in space
8486: . t - The current time
8487: . x - The coordinates of this point
8488: . numConstants - The number of constants
8489: . constants - The value of each constant
8490: - f - The value of the function at this point in space
8492: Level: intermediate
8494: Note:
8495: There are three different `DM`s that potentially interact in this function. The output `DM`, dm, specifies the layout of the values calculates by funcs.
8496: The input `DM`, attached to U, may be different. For example, you can input the solution over the full domain, but output over a piece of the boundary, or
8497: a subdomain. You can also output a different number of fields than the input, with different discretizations. Last the auxiliary `DM`, attached to the
8498: auxiliary field vector, which is attached to dm, can also be different. It can have a different topology, number of fields, and discretizations.
8500: Developer Notes:
8501: This API is specific to only particular usage of `DM`
8503: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8505: .seealso: [](ch_dmbase), `DM`, `DMProjectField()`, `DMProjectFieldLabelLocal()`,
8506: `DMProjectFunction()`, `DMComputeL2Diff()`
8507: @*/
8508: PetscErrorCode DMProjectFieldLocal(DM dm, PetscReal time, Vec localU, void (**funcs)(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f[]), InsertMode mode, Vec localX)
8509: {
8510: PetscFunctionBegin;
8514: PetscUseTypeMethod(dm, projectfieldlocal, time, localU, funcs, mode, localX);
8515: PetscFunctionReturn(PETSC_SUCCESS);
8516: }
8518: /*@C
8519: DMProjectFieldLabelLocal - This projects the given function of the input fields into the function space provided, putting the coefficients in a local vector, calculating only over the portion of the domain specified by the label.
8521: Not Collective
8523: Input Parameters:
8524: + dm - The `DM`
8525: . time - The time
8526: . label - The `DMLabel` marking the portion of the domain to output
8527: . numIds - The number of label ids to use
8528: . ids - The label ids to use for marking
8529: . Nc - The number of components to set in the output, or `PETSC_DETERMINE` for all components
8530: . comps - The components to set in the output, or `NULL` for all components
8531: . localU - The input field vector
8532: . funcs - The functions to evaluate, one per field
8533: - mode - The insertion mode for values
8535: Output Parameter:
8536: . localX - The output vector
8538: Calling sequence of `funcs`:
8539: + dim - The spatial dimension
8540: . Nf - The number of input fields
8541: . NfAux - The number of input auxiliary fields
8542: . uOff - The offset of each field in u[]
8543: . uOff_x - The offset of each field in u_x[]
8544: . u - The field values at this point in space
8545: . u_t - The field time derivative at this point in space (or `NULL`)
8546: . u_x - The field derivatives at this point in space
8547: . aOff - The offset of each auxiliary field in u[]
8548: . aOff_x - The offset of each auxiliary field in u_x[]
8549: . a - The auxiliary field values at this point in space
8550: . a_t - The auxiliary field time derivative at this point in space (or `NULL`)
8551: . a_x - The auxiliary field derivatives at this point in space
8552: . t - The current time
8553: . x - The coordinates of this point
8554: . numConstants - The number of constants
8555: . constants - The value of each constant
8556: - f - The value of the function at this point in space
8558: Level: intermediate
8560: Note:
8561: There are three different `DM`s that potentially interact in this function. The output `DM`, dm, specifies the layout of the values calculates by funcs.
8562: The input `DM`, attached to localU, may be different. For example, you can input the solution over the full domain, but output over a piece of the boundary, or
8563: a subdomain. You can also output a different number of fields than the input, with different discretizations. Last the auxiliary `DM`, attached to the
8564: auxiliary field vector, which is attached to dm, can also be different. It can have a different topology, number of fields, and discretizations.
8566: Developer Notes:
8567: This API is specific to only particular usage of `DM`
8569: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8571: .seealso: [](ch_dmbase), `DM`, `DMProjectField()`, `DMProjectFieldLabel()`, `DMProjectFunction()`, `DMComputeL2Diff()`
8572: @*/
8573: PetscErrorCode DMProjectFieldLabelLocal(DM dm, PetscReal time, DMLabel label, PetscInt numIds, const PetscInt ids[], PetscInt Nc, const PetscInt comps[], Vec localU, void (**funcs)(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f[]), InsertMode mode, Vec localX)
8574: {
8575: PetscFunctionBegin;
8579: PetscUseTypeMethod(dm, projectfieldlabellocal, time, label, numIds, ids, Nc, comps, localU, funcs, mode, localX);
8580: PetscFunctionReturn(PETSC_SUCCESS);
8581: }
8583: /*@C
8584: DMProjectFieldLabel - This projects the given function of the input fields into the function space provided, putting the coefficients in a global vector, calculating only over the portion of the domain specified by the label.
8586: Not Collective
8588: Input Parameters:
8589: + dm - The `DM`
8590: . time - The time
8591: . label - The `DMLabel` marking the portion of the domain to output
8592: . numIds - The number of label ids to use
8593: . ids - The label ids to use for marking
8594: . Nc - The number of components to set in the output, or `PETSC_DETERMINE` for all components
8595: . comps - The components to set in the output, or `NULL` for all components
8596: . U - The input field vector
8597: . funcs - The functions to evaluate, one per field
8598: - mode - The insertion mode for values
8600: Output Parameter:
8601: . X - The output vector
8603: Calling sequence of `funcs`:
8604: + dim - The spatial dimension
8605: . Nf - The number of input fields
8606: . NfAux - The number of input auxiliary fields
8607: . uOff - The offset of each field in u[]
8608: . uOff_x - The offset of each field in u_x[]
8609: . u - The field values at this point in space
8610: . u_t - The field time derivative at this point in space (or `NULL`)
8611: . u_x - The field derivatives at this point in space
8612: . aOff - The offset of each auxiliary field in u[]
8613: . aOff_x - The offset of each auxiliary field in u_x[]
8614: . a - The auxiliary field values at this point in space
8615: . a_t - The auxiliary field time derivative at this point in space (or `NULL`)
8616: . a_x - The auxiliary field derivatives at this point in space
8617: . t - The current time
8618: . x - The coordinates of this point
8619: . numConstants - The number of constants
8620: . constants - The value of each constant
8621: - f - The value of the function at this point in space
8623: Level: intermediate
8625: Note:
8626: There are three different `DM`s that potentially interact in this function. The output `DM`, dm, specifies the layout of the values calculates by funcs.
8627: The input `DM`, attached to U, may be different. For example, you can input the solution over the full domain, but output over a piece of the boundary, or
8628: a subdomain. You can also output a different number of fields than the input, with different discretizations. Last the auxiliary `DM`, attached to the
8629: auxiliary field vector, which is attached to dm, can also be different. It can have a different topology, number of fields, and discretizations.
8631: Developer Notes:
8632: This API is specific to only particular usage of `DM`
8634: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8636: .seealso: [](ch_dmbase), `DM`, `DMProjectField()`, `DMProjectFieldLabelLocal()`, `DMProjectFunction()`, `DMComputeL2Diff()`
8637: @*/
8638: PetscErrorCode DMProjectFieldLabel(DM dm, PetscReal time, DMLabel label, PetscInt numIds, const PetscInt ids[], PetscInt Nc, const PetscInt comps[], Vec U, void (**funcs)(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f[]), InsertMode mode, Vec X)
8639: {
8640: DM dmIn;
8641: Vec localU, localX;
8643: PetscFunctionBegin;
8645: PetscCall(VecGetDM(U, &dmIn));
8646: PetscCall(DMGetLocalVector(dmIn, &localU));
8647: PetscCall(DMGetLocalVector(dm, &localX));
8648: PetscCall(VecSet(localX, 0.));
8649: PetscCall(DMGlobalToLocalBegin(dmIn, U, mode, localU));
8650: PetscCall(DMGlobalToLocalEnd(dmIn, U, mode, localU));
8651: PetscCall(DMProjectFieldLabelLocal(dm, time, label, numIds, ids, Nc, comps, localU, funcs, mode, localX));
8652: PetscCall(DMLocalToGlobalBegin(dm, localX, mode, X));
8653: PetscCall(DMLocalToGlobalEnd(dm, localX, mode, X));
8654: PetscCall(DMRestoreLocalVector(dm, &localX));
8655: PetscCall(DMRestoreLocalVector(dmIn, &localU));
8656: PetscFunctionReturn(PETSC_SUCCESS);
8657: }
8659: /*@C
8660: DMProjectBdFieldLabelLocal - This projects the given function of the input fields into the function space provided, putting the coefficients in a local vector, calculating only over the portion of the domain boundary specified by the label.
8662: Not Collective
8664: Input Parameters:
8665: + dm - The `DM`
8666: . time - The time
8667: . label - The `DMLabel` marking the portion of the domain boundary to output
8668: . numIds - The number of label ids to use
8669: . ids - The label ids to use for marking
8670: . Nc - The number of components to set in the output, or `PETSC_DETERMINE` for all components
8671: . comps - The components to set in the output, or `NULL` for all components
8672: . localU - The input field vector
8673: . funcs - The functions to evaluate, one per field
8674: - mode - The insertion mode for values
8676: Output Parameter:
8677: . localX - The output vector
8679: Calling sequence of `funcs`:
8680: + dim - The spatial dimension
8681: . Nf - The number of input fields
8682: . NfAux - The number of input auxiliary fields
8683: . uOff - The offset of each field in u[]
8684: . uOff_x - The offset of each field in u_x[]
8685: . u - The field values at this point in space
8686: . u_t - The field time derivative at this point in space (or `NULL`)
8687: . u_x - The field derivatives at this point in space
8688: . aOff - The offset of each auxiliary field in u[]
8689: . aOff_x - The offset of each auxiliary field in u_x[]
8690: . a - The auxiliary field values at this point in space
8691: . a_t - The auxiliary field time derivative at this point in space (or `NULL`)
8692: . a_x - The auxiliary field derivatives at this point in space
8693: . t - The current time
8694: . x - The coordinates of this point
8695: . n - The face normal
8696: . numConstants - The number of constants
8697: . constants - The value of each constant
8698: - f - The value of the function at this point in space
8700: Level: intermediate
8702: Note:
8703: There are three different `DM`s that potentially interact in this function. The output `DM`, dm, specifies the layout of the values calculates by funcs.
8704: The input `DM`, attached to U, may be different. For example, you can input the solution over the full domain, but output over a piece of the boundary, or
8705: a subdomain. You can also output a different number of fields than the input, with different discretizations. Last the auxiliary `DM`, attached to the
8706: auxiliary field vector, which is attached to dm, can also be different. It can have a different topology, number of fields, and discretizations.
8708: Developer Notes:
8709: This API is specific to only particular usage of `DM`
8711: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8713: .seealso: [](ch_dmbase), `DM`, `DMProjectField()`, `DMProjectFieldLabelLocal()`, `DMProjectFunction()`, `DMComputeL2Diff()`
8714: @*/
8715: PetscErrorCode DMProjectBdFieldLabelLocal(DM dm, PetscReal time, DMLabel label, PetscInt numIds, const PetscInt ids[], PetscInt Nc, const PetscInt comps[], Vec localU, void (**funcs)(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], const PetscReal n[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f[]), InsertMode mode, Vec localX)
8716: {
8717: PetscFunctionBegin;
8721: PetscUseTypeMethod(dm, projectbdfieldlabellocal, time, label, numIds, ids, Nc, comps, localU, funcs, mode, localX);
8722: PetscFunctionReturn(PETSC_SUCCESS);
8723: }
8725: /*@C
8726: DMComputeL2Diff - This function computes the L_2 difference between a function u and an FEM interpolant solution u_h.
8728: Collective
8730: Input Parameters:
8731: + dm - The `DM`
8732: . time - The time
8733: . funcs - The functions to evaluate for each field component
8734: . ctxs - Optional array of contexts to pass to each function, or `NULL`.
8735: - X - The coefficient vector u_h, a global vector
8737: Output Parameter:
8738: . diff - The diff ||u - u_h||_2
8740: Level: developer
8742: Developer Notes:
8743: This API is specific to only particular usage of `DM`
8745: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8747: .seealso: [](ch_dmbase), `DM`, `DMProjectFunction()`, `DMComputeL2FieldDiff()`, `DMComputeL2GradientDiff()`
8748: @*/
8749: PetscErrorCode DMComputeL2Diff(DM dm, PetscReal time, PetscErrorCode (**funcs)(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar *, void *), void **ctxs, Vec X, PetscReal *diff)
8750: {
8751: PetscFunctionBegin;
8754: PetscUseTypeMethod(dm, computel2diff, time, funcs, ctxs, X, diff);
8755: PetscFunctionReturn(PETSC_SUCCESS);
8756: }
8758: /*@C
8759: DMComputeL2GradientDiff - This function computes the L_2 difference between the gradient of a function u and an FEM interpolant solution grad u_h.
8761: Collective
8763: Input Parameters:
8764: + dm - The `DM`
8765: . time - The time
8766: . funcs - The gradient functions to evaluate for each field component
8767: . ctxs - Optional array of contexts to pass to each function, or `NULL`.
8768: . X - The coefficient vector u_h, a global vector
8769: - n - The vector to project along
8771: Output Parameter:
8772: . diff - The diff ||(grad u - grad u_h) . n||_2
8774: Level: developer
8776: Developer Notes:
8777: This API is specific to only particular usage of `DM`
8779: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8781: .seealso: [](ch_dmbase), `DM`, `DMProjectFunction()`, `DMComputeL2Diff()`, `DMComputeL2FieldDiff()`
8782: @*/
8783: PetscErrorCode DMComputeL2GradientDiff(DM dm, PetscReal time, PetscErrorCode (**funcs)(PetscInt, PetscReal, const PetscReal[], const PetscReal[], PetscInt, PetscScalar *, void *), void **ctxs, Vec X, const PetscReal n[], PetscReal *diff)
8784: {
8785: PetscFunctionBegin;
8788: PetscUseTypeMethod(dm, computel2gradientdiff, time, funcs, ctxs, X, n, diff);
8789: PetscFunctionReturn(PETSC_SUCCESS);
8790: }
8792: /*@C
8793: DMComputeL2FieldDiff - This function computes the L_2 difference between a function u and an FEM interpolant solution u_h, separated into field components.
8795: Collective
8797: Input Parameters:
8798: + dm - The `DM`
8799: . time - The time
8800: . funcs - The functions to evaluate for each field component
8801: . ctxs - Optional array of contexts to pass to each function, or `NULL`.
8802: - X - The coefficient vector u_h, a global vector
8804: Output Parameter:
8805: . diff - The array of differences, ||u^f - u^f_h||_2
8807: Level: developer
8809: Developer Notes:
8810: This API is specific to only particular usage of `DM`
8812: The notes need to provide some information about what has to be provided to the `DM` to be able to perform the computation.
8814: .seealso: [](ch_dmbase), `DM`, `DMProjectFunction()`, `DMComputeL2GradientDiff()`
8815: @*/
8816: PetscErrorCode DMComputeL2FieldDiff(DM dm, PetscReal time, PetscErrorCode (**funcs)(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar *, void *), void **ctxs, Vec X, PetscReal diff[])
8817: {
8818: PetscFunctionBegin;
8821: PetscUseTypeMethod(dm, computel2fielddiff, time, funcs, ctxs, X, diff);
8822: PetscFunctionReturn(PETSC_SUCCESS);
8823: }
8825: /*@C
8826: DMGetNeighbors - Gets an array containing the MPI ranks of all the processes neighbors
8828: Not Collective
8830: Input Parameter:
8831: . dm - The `DM`
8833: Output Parameters:
8834: + nranks - the number of neighbours
8835: - ranks - the neighbors ranks
8837: Level: beginner
8839: Note:
8840: Do not free the array, it is freed when the `DM` is destroyed.
8842: .seealso: [](ch_dmbase), `DM`, `DMDAGetNeighbors()`, `PetscSFGetRootRanks()`
8843: @*/
8844: PetscErrorCode DMGetNeighbors(DM dm, PetscInt *nranks, const PetscMPIInt *ranks[])
8845: {
8846: PetscFunctionBegin;
8848: PetscUseTypeMethod(dm, getneighbors, nranks, ranks);
8849: PetscFunctionReturn(PETSC_SUCCESS);
8850: }
8852: #include <petsc/private/matimpl.h>
8854: /*
8855: Converts the input vector to a ghosted vector and then calls the standard coloring code.
8856: This must be a different function because it requires DM which is not defined in the Mat library
8857: */
8858: static PetscErrorCode MatFDColoringApply_AIJDM(Mat J, MatFDColoring coloring, Vec x1, void *sctx)
8859: {
8860: PetscFunctionBegin;
8861: if (coloring->ctype == IS_COLORING_LOCAL) {
8862: Vec x1local;
8863: DM dm;
8864: PetscCall(MatGetDM(J, &dm));
8865: PetscCheck(dm, PetscObjectComm((PetscObject)J), PETSC_ERR_ARG_INCOMP, "IS_COLORING_LOCAL requires a DM");
8866: PetscCall(DMGetLocalVector(dm, &x1local));
8867: PetscCall(DMGlobalToLocalBegin(dm, x1, INSERT_VALUES, x1local));
8868: PetscCall(DMGlobalToLocalEnd(dm, x1, INSERT_VALUES, x1local));
8869: x1 = x1local;
8870: }
8871: PetscCall(MatFDColoringApply_AIJ(J, coloring, x1, sctx));
8872: if (coloring->ctype == IS_COLORING_LOCAL) {
8873: DM dm;
8874: PetscCall(MatGetDM(J, &dm));
8875: PetscCall(DMRestoreLocalVector(dm, &x1));
8876: }
8877: PetscFunctionReturn(PETSC_SUCCESS);
8878: }
8880: /*@
8881: MatFDColoringUseDM - allows a `MatFDColoring` object to use the `DM` associated with the matrix to compute a `IS_COLORING_LOCAL` coloring
8883: Input Parameters:
8884: + coloring - The matrix to get the `DM` from
8885: - fdcoloring - the `MatFDColoring` object
8887: Level: advanced
8889: Developer Note:
8890: This routine exists because the PETSc `Mat` library does not know about the `DM` objects
8892: .seealso: [](ch_dmbase), `DM`, `MatFDColoring`, `MatFDColoringCreate()`, `ISColoringType`
8893: @*/
8894: PetscErrorCode MatFDColoringUseDM(Mat coloring, MatFDColoring fdcoloring)
8895: {
8896: PetscFunctionBegin;
8897: coloring->ops->fdcoloringapply = MatFDColoringApply_AIJDM;
8898: PetscFunctionReturn(PETSC_SUCCESS);
8899: }
8901: /*@
8902: DMGetCompatibility - determine if two `DM`s are compatible
8904: Collective
8906: Input Parameters:
8907: + dm1 - the first `DM`
8908: - dm2 - the second `DM`
8910: Output Parameters:
8911: + compatible - whether or not the two `DM`s are compatible
8912: - set - whether or not the compatible value was actually determined and set
8914: Level: advanced
8916: Notes:
8917: Two `DM`s are deemed compatible if they represent the same parallel decomposition
8918: of the same topology. This implies that the section (field data) on one
8919: "makes sense" with respect to the topology and parallel decomposition of the other.
8920: Loosely speaking, compatible `DM`s represent the same domain and parallel
8921: decomposition, but hold different data.
8923: Typically, one would confirm compatibility if intending to simultaneously iterate
8924: over a pair of vectors obtained from different `DM`s.
8926: For example, two `DMDA` objects are compatible if they have the same local
8927: and global sizes and the same stencil width. They can have different numbers
8928: of degrees of freedom per node. Thus, one could use the node numbering from
8929: either `DM` in bounds for a loop over vectors derived from either `DM`.
8931: Consider the operation of summing data living on a 2-dof `DMDA` to data living
8932: on a 1-dof `DMDA`, which should be compatible, as in the following snippet.
8933: .vb
8934: ...
8935: PetscCall(DMGetCompatibility(da1,da2,&compatible,&set));
8936: if (set && compatible) {
8937: PetscCall(DMDAVecGetArrayDOF(da1,vec1,&arr1));
8938: PetscCall(DMDAVecGetArrayDOF(da2,vec2,&arr2));
8939: PetscCall(DMDAGetCorners(da1,&x,&y,NULL,&m,&n,NULL));
8940: for (j=y; j<y+n; ++j) {
8941: for (i=x; i<x+m, ++i) {
8942: arr1[j][i][0] = arr2[j][i][0] + arr2[j][i][1];
8943: }
8944: }
8945: PetscCall(DMDAVecRestoreArrayDOF(da1,vec1,&arr1));
8946: PetscCall(DMDAVecRestoreArrayDOF(da2,vec2,&arr2));
8947: } else {
8948: SETERRQ(PetscObjectComm((PetscObject)da1,PETSC_ERR_ARG_INCOMP,"DMDA objects incompatible");
8949: }
8950: ...
8951: .ve
8953: Checking compatibility might be expensive for a given implementation of `DM`,
8954: or might be impossible to unambiguously confirm or deny. For this reason,
8955: this function may decline to determine compatibility, and hence users should
8956: always check the "set" output parameter.
8958: A `DM` is always compatible with itself.
8960: In the current implementation, `DM`s which live on "unequal" communicators
8961: (MPI_UNEQUAL in the terminology of MPI_Comm_compare()) are always deemed
8962: incompatible.
8964: This function is labeled "Collective," as information about all subdomains
8965: is required on each rank. However, in `DM` implementations which store all this
8966: information locally, this function may be merely "Logically Collective".
8968: Developer Note:
8969: Compatibility is assumed to be a symmetric concept; `DM` A is compatible with `DM` B
8970: iff B is compatible with A. Thus, this function checks the implementations
8971: of both dm and dmc (if they are of different types), attempting to determine
8972: compatibility. It is left to `DM` implementers to ensure that symmetry is
8973: preserved. The simplest way to do this is, when implementing type-specific
8974: logic for this function, is to check for existing logic in the implementation
8975: of other `DM` types and let *set = PETSC_FALSE if found.
8977: .seealso: [](ch_dmbase), `DM`, `DMDACreateCompatibleDMDA()`, `DMStagCreateCompatibleDMStag()`
8978: @*/
8979: PetscErrorCode DMGetCompatibility(DM dm1, DM dm2, PetscBool *compatible, PetscBool *set)
8980: {
8981: PetscMPIInt compareResult;
8982: DMType type, type2;
8983: PetscBool sameType;
8985: PetscFunctionBegin;
8989: /* Declare a DM compatible with itself */
8990: if (dm1 == dm2) {
8991: *set = PETSC_TRUE;
8992: *compatible = PETSC_TRUE;
8993: PetscFunctionReturn(PETSC_SUCCESS);
8994: }
8996: /* Declare a DM incompatible with a DM that lives on an "unequal"
8997: communicator. Note that this does not preclude compatibility with
8998: DMs living on "congruent" or "similar" communicators, but this must be
8999: determined by the implementation-specific logic */
9000: PetscCallMPI(MPI_Comm_compare(PetscObjectComm((PetscObject)dm1), PetscObjectComm((PetscObject)dm2), &compareResult));
9001: if (compareResult == MPI_UNEQUAL) {
9002: *set = PETSC_TRUE;
9003: *compatible = PETSC_FALSE;
9004: PetscFunctionReturn(PETSC_SUCCESS);
9005: }
9007: /* Pass to the implementation-specific routine, if one exists. */
9008: if (dm1->ops->getcompatibility) {
9009: PetscUseTypeMethod(dm1, getcompatibility, dm2, compatible, set);
9010: if (*set) PetscFunctionReturn(PETSC_SUCCESS);
9011: }
9013: /* If dm1 and dm2 are of different types, then attempt to check compatibility
9014: with an implementation of this function from dm2 */
9015: PetscCall(DMGetType(dm1, &type));
9016: PetscCall(DMGetType(dm2, &type2));
9017: PetscCall(PetscStrcmp(type, type2, &sameType));
9018: if (!sameType && dm2->ops->getcompatibility) {
9019: PetscUseTypeMethod(dm2, getcompatibility, dm1, compatible, set); /* Note argument order */
9020: } else {
9021: *set = PETSC_FALSE;
9022: }
9023: PetscFunctionReturn(PETSC_SUCCESS);
9024: }
9026: /*@C
9027: DMMonitorSet - Sets an additional monitor function that is to be used after a solve to monitor discretization performance.
9029: Logically Collective
9031: Input Parameters:
9032: + dm - the `DM`
9033: . f - the monitor function
9034: . mctx - [optional] context for private data for the monitor routine (use `NULL` if no context is desired)
9035: - monitordestroy - [optional] routine that frees monitor context (may be `NULL`), see `PetscCtxDestroyFn` for the calling sequence
9037: Options Database Key:
9038: . -dm_monitor_cancel - cancels all monitors that have been hardwired into a code by calls to `DMMonitorSet()`, but
9039: does not cancel those set via the options database.
9041: Level: intermediate
9043: Note:
9044: Several different monitoring routines may be set by calling
9045: `DMMonitorSet()` multiple times or with `DMMonitorSetFromOptions()`; all will be called in the
9046: order in which they were set.
9048: Fortran Note:
9049: Only a single monitor function can be set for each `DM` object
9051: Developer Note:
9052: This API has a generic name but seems specific to a very particular aspect of the use of `DM`
9054: .seealso: [](ch_dmbase), `DM`, `DMMonitorCancel()`, `DMMonitorSetFromOptions()`, `DMMonitor()`, `PetscCtxDestroyFn`
9055: @*/
9056: PetscErrorCode DMMonitorSet(DM dm, PetscErrorCode (*f)(DM, void *), void *mctx, PetscCtxDestroyFn *monitordestroy)
9057: {
9058: PetscFunctionBegin;
9060: for (PetscInt m = 0; m < dm->numbermonitors; ++m) {
9061: PetscBool identical;
9063: PetscCall(PetscMonitorCompare((PetscErrorCode (*)(void))(PetscVoidFn *)f, mctx, monitordestroy, (PetscErrorCode (*)(void))(PetscVoidFn *)dm->monitor[m], dm->monitorcontext[m], dm->monitordestroy[m], &identical));
9064: if (identical) PetscFunctionReturn(PETSC_SUCCESS);
9065: }
9066: PetscCheck(dm->numbermonitors < MAXDMMONITORS, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many monitors set");
9067: dm->monitor[dm->numbermonitors] = f;
9068: dm->monitordestroy[dm->numbermonitors] = monitordestroy;
9069: dm->monitorcontext[dm->numbermonitors++] = mctx;
9070: PetscFunctionReturn(PETSC_SUCCESS);
9071: }
9073: /*@
9074: DMMonitorCancel - Clears all the monitor functions for a `DM` object.
9076: Logically Collective
9078: Input Parameter:
9079: . dm - the DM
9081: Options Database Key:
9082: . -dm_monitor_cancel - cancels all monitors that have been hardwired
9083: into a code by calls to `DMonitorSet()`, but does not cancel those
9084: set via the options database
9086: Level: intermediate
9088: Note:
9089: There is no way to clear one specific monitor from a `DM` object.
9091: .seealso: [](ch_dmbase), `DM`, `DMMonitorSet()`, `DMMonitorSetFromOptions()`, `DMMonitor()`
9092: @*/
9093: PetscErrorCode DMMonitorCancel(DM dm)
9094: {
9095: PetscInt m;
9097: PetscFunctionBegin;
9099: for (m = 0; m < dm->numbermonitors; ++m) {
9100: if (dm->monitordestroy[m]) PetscCall((*dm->monitordestroy[m])(&dm->monitorcontext[m]));
9101: }
9102: dm->numbermonitors = 0;
9103: PetscFunctionReturn(PETSC_SUCCESS);
9104: }
9106: /*@C
9107: DMMonitorSetFromOptions - Sets a monitor function and viewer appropriate for the type indicated by the user
9109: Collective
9111: Input Parameters:
9112: + dm - `DM` object you wish to monitor
9113: . name - the monitor type one is seeking
9114: . help - message indicating what monitoring is done
9115: . manual - manual page for the monitor
9116: . monitor - the monitor function, this must use a `PetscViewerFormat` as its context
9117: - monitorsetup - a function that is called once ONLY if the user selected this monitor that may set additional features of the `DM` or `PetscViewer` objects
9119: Output Parameter:
9120: . flg - Flag set if the monitor was created
9122: Calling sequence of `monitor`:
9123: + dm - the `DM` to be monitored
9124: - ctx - monitor context
9126: Calling sequence of `monitorsetup`:
9127: + dm - the `DM` to be monitored
9128: - vf - the `PetscViewer` and format to be used by the monitor
9130: Level: developer
9132: .seealso: [](ch_dmbase), `DM`, `PetscOptionsCreateViewer()`, `PetscOptionsGetReal()`, `PetscOptionsHasName()`, `PetscOptionsGetString()`,
9133: `PetscOptionsGetIntArray()`, `PetscOptionsGetRealArray()`, `PetscOptionsBool()`
9134: `PetscOptionsInt()`, `PetscOptionsString()`, `PetscOptionsReal()`,
9135: `PetscOptionsName()`, `PetscOptionsBegin()`, `PetscOptionsEnd()`, `PetscOptionsHeadBegin()`,
9136: `PetscOptionsStringArray()`, `PetscOptionsRealArray()`, `PetscOptionsScalar()`,
9137: `PetscOptionsBoolGroupBegin()`, `PetscOptionsBoolGroup()`, `PetscOptionsBoolGroupEnd()`,
9138: `PetscOptionsFList()`, `PetscOptionsEList()`, `DMMonitor()`, `DMMonitorSet()`
9139: @*/
9140: PetscErrorCode DMMonitorSetFromOptions(DM dm, const char name[], const char help[], const char manual[], PetscErrorCode (*monitor)(DM dm, PetscCtx ctx), PetscErrorCode (*monitorsetup)(DM dm, PetscViewerAndFormat *vf), PetscBool *flg)
9141: {
9142: PetscViewer viewer;
9143: PetscViewerFormat format;
9145: PetscFunctionBegin;
9147: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)dm), ((PetscObject)dm)->options, ((PetscObject)dm)->prefix, name, &viewer, &format, flg));
9148: if (*flg) {
9149: PetscViewerAndFormat *vf;
9151: PetscCall(PetscViewerAndFormatCreate(viewer, format, &vf));
9152: PetscCall(PetscViewerDestroy(&viewer));
9153: if (monitorsetup) PetscCall((*monitorsetup)(dm, vf));
9154: PetscCall(DMMonitorSet(dm, monitor, vf, (PetscCtxDestroyFn *)PetscViewerAndFormatDestroy));
9155: }
9156: PetscFunctionReturn(PETSC_SUCCESS);
9157: }
9159: /*@
9160: DMMonitor - runs the user provided monitor routines, if they exist
9162: Collective
9164: Input Parameter:
9165: . dm - The `DM`
9167: Level: developer
9169: Developer Note:
9170: Note should indicate when during the life of the `DM` the monitor is run. It appears to be
9171: related to the discretization process seems rather specialized since some `DM` have no
9172: concept of discretization.
9174: .seealso: [](ch_dmbase), `DM`, `DMMonitorSet()`, `DMMonitorSetFromOptions()`
9175: @*/
9176: PetscErrorCode DMMonitor(DM dm)
9177: {
9178: PetscInt m;
9180: PetscFunctionBegin;
9181: if (!dm) PetscFunctionReturn(PETSC_SUCCESS);
9183: for (m = 0; m < dm->numbermonitors; ++m) PetscCall((*dm->monitor[m])(dm, dm->monitorcontext[m]));
9184: PetscFunctionReturn(PETSC_SUCCESS);
9185: }
9187: /*@
9188: DMComputeError - Computes the error assuming the user has provided the exact solution functions
9190: Collective
9192: Input Parameters:
9193: + dm - The `DM`
9194: - sol - The solution vector
9196: Input/Output Parameter:
9197: . errors - An array of length Nf, the number of fields, or `NULL` for no output; on output
9198: contains the error in each field
9200: Output Parameter:
9201: . errorVec - A vector to hold the cellwise error (may be `NULL`)
9203: Level: developer
9205: Note:
9206: The exact solutions come from the `PetscDS` object, and the time comes from `DMGetOutputSequenceNumber()`.
9208: .seealso: [](ch_dmbase), `DM`, `DMMonitorSet()`, `DMGetRegionNumDS()`, `PetscDSGetExactSolution()`, `DMGetOutputSequenceNumber()`
9209: @*/
9210: PetscErrorCode DMComputeError(DM dm, Vec sol, PetscReal errors[], Vec *errorVec)
9211: {
9212: PetscErrorCode (**exactSol)(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *);
9213: void **ctxs;
9214: PetscReal time;
9215: PetscInt Nf, f, Nds, s;
9217: PetscFunctionBegin;
9218: PetscCall(DMGetNumFields(dm, &Nf));
9219: PetscCall(PetscCalloc2(Nf, &exactSol, Nf, &ctxs));
9220: PetscCall(DMGetNumDS(dm, &Nds));
9221: for (s = 0; s < Nds; ++s) {
9222: PetscDS ds;
9223: DMLabel label;
9224: IS fieldIS;
9225: const PetscInt *fields;
9226: PetscInt dsNf;
9228: PetscCall(DMGetRegionNumDS(dm, s, &label, &fieldIS, &ds, NULL));
9229: PetscCall(PetscDSGetNumFields(ds, &dsNf));
9230: if (fieldIS) PetscCall(ISGetIndices(fieldIS, &fields));
9231: for (f = 0; f < dsNf; ++f) {
9232: const PetscInt field = fields[f];
9233: PetscCall(PetscDSGetExactSolution(ds, field, &exactSol[field], &ctxs[field]));
9234: }
9235: if (fieldIS) PetscCall(ISRestoreIndices(fieldIS, &fields));
9236: }
9237: for (f = 0; f < Nf; ++f) PetscCheck(exactSol[f], PetscObjectComm((PetscObject)dm), PETSC_ERR_ARG_WRONG, "DS must contain exact solution functions in order to calculate error, missing for field %" PetscInt_FMT, f);
9238: PetscCall(DMGetOutputSequenceNumber(dm, NULL, &time));
9239: if (errors) PetscCall(DMComputeL2FieldDiff(dm, time, exactSol, ctxs, sol, errors));
9240: if (errorVec) {
9241: DM edm;
9242: DMPolytopeType ct;
9243: PetscBool simplex;
9244: PetscInt dim, cStart, Nf;
9246: PetscCall(DMClone(dm, &edm));
9247: PetscCall(DMGetDimension(edm, &dim));
9248: PetscCall(DMPlexGetHeightStratum(dm, 0, &cStart, NULL));
9249: PetscCall(DMPlexGetCellType(dm, cStart, &ct));
9250: simplex = DMPolytopeTypeGetNumVertices(ct) == DMPolytopeTypeGetDim(ct) + 1 ? PETSC_TRUE : PETSC_FALSE;
9251: PetscCall(DMGetNumFields(dm, &Nf));
9252: for (f = 0; f < Nf; ++f) {
9253: PetscFE fe, efe;
9254: PetscQuadrature q;
9255: const char *name;
9257: PetscCall(DMGetField(dm, f, NULL, (PetscObject *)&fe));
9258: PetscCall(PetscFECreateLagrange(PETSC_COMM_SELF, dim, Nf, simplex, 0, PETSC_DETERMINE, &efe));
9259: PetscCall(PetscObjectGetName((PetscObject)fe, &name));
9260: PetscCall(PetscObjectSetName((PetscObject)efe, name));
9261: PetscCall(PetscFEGetQuadrature(fe, &q));
9262: PetscCall(PetscFESetQuadrature(efe, q));
9263: PetscCall(DMSetField(edm, f, NULL, (PetscObject)efe));
9264: PetscCall(PetscFEDestroy(&efe));
9265: }
9266: PetscCall(DMCreateDS(edm));
9268: PetscCall(DMCreateGlobalVector(edm, errorVec));
9269: PetscCall(PetscObjectSetName((PetscObject)*errorVec, "Error"));
9270: PetscCall(DMPlexComputeL2DiffVec(dm, time, exactSol, ctxs, sol, *errorVec));
9271: PetscCall(DMDestroy(&edm));
9272: }
9273: PetscCall(PetscFree2(exactSol, ctxs));
9274: PetscFunctionReturn(PETSC_SUCCESS);
9275: }
9277: /*@
9278: DMGetNumAuxiliaryVec - Get the number of auxiliary vectors associated with this `DM`
9280: Not Collective
9282: Input Parameter:
9283: . dm - The `DM`
9285: Output Parameter:
9286: . numAux - The number of auxiliary data vectors
9288: Level: advanced
9290: .seealso: [](ch_dmbase), `DM`, `DMClearAuxiliaryVec()`, `DMSetAuxiliaryVec()`, `DMGetAuxiliaryLabels()`, `DMGetAuxiliaryVec()`
9291: @*/
9292: PetscErrorCode DMGetNumAuxiliaryVec(DM dm, PetscInt *numAux)
9293: {
9294: PetscFunctionBegin;
9296: PetscCall(PetscHMapAuxGetSize(dm->auxData, numAux));
9297: PetscFunctionReturn(PETSC_SUCCESS);
9298: }
9300: /*@
9301: DMGetAuxiliaryVec - Get the auxiliary vector for region specified by the given label and value, and equation part
9303: Not Collective
9305: Input Parameters:
9306: + dm - The `DM`
9307: . label - The `DMLabel`
9308: . value - The label value indicating the region
9309: - part - The equation part, or 0 if unused
9311: Output Parameter:
9312: . aux - The `Vec` holding auxiliary field data
9314: Level: advanced
9316: Note:
9317: If no auxiliary vector is found for this (label, value), (`NULL`, 0, 0) is checked as well.
9319: .seealso: [](ch_dmbase), `DM`, `DMClearAuxiliaryVec()`, `DMSetAuxiliaryVec()`, `DMGetNumAuxiliaryVec()`, `DMGetAuxiliaryLabels()`
9320: @*/
9321: PetscErrorCode DMGetAuxiliaryVec(DM dm, DMLabel label, PetscInt value, PetscInt part, Vec *aux)
9322: {
9323: PetscHashAuxKey key, wild = {NULL, 0, 0};
9324: PetscBool has;
9326: PetscFunctionBegin;
9329: key.label = label;
9330: key.value = value;
9331: key.part = part;
9332: PetscCall(PetscHMapAuxHas(dm->auxData, key, &has));
9333: if (has) PetscCall(PetscHMapAuxGet(dm->auxData, key, aux));
9334: else PetscCall(PetscHMapAuxGet(dm->auxData, wild, aux));
9335: PetscFunctionReturn(PETSC_SUCCESS);
9336: }
9338: /*@
9339: DMSetAuxiliaryVec - Set an auxiliary vector for region specified by the given label and value, and equation part
9341: Not Collective because auxiliary vectors are not parallel
9343: Input Parameters:
9344: + dm - The `DM`
9345: . label - The `DMLabel`
9346: . value - The label value indicating the region
9347: . part - The equation part, or 0 if unused
9348: - aux - The `Vec` holding auxiliary field data
9350: Level: advanced
9352: .seealso: [](ch_dmbase), `DM`, `DMClearAuxiliaryVec()`, `DMGetAuxiliaryVec()`, `DMGetAuxiliaryLabels()`, `DMCopyAuxiliaryVec()`
9353: @*/
9354: PetscErrorCode DMSetAuxiliaryVec(DM dm, DMLabel label, PetscInt value, PetscInt part, Vec aux)
9355: {
9356: Vec old;
9357: PetscHashAuxKey key;
9359: PetscFunctionBegin;
9362: key.label = label;
9363: key.value = value;
9364: key.part = part;
9365: PetscCall(PetscHMapAuxGet(dm->auxData, key, &old));
9366: PetscCall(PetscObjectReference((PetscObject)aux));
9367: if (!aux) PetscCall(PetscHMapAuxDel(dm->auxData, key));
9368: else PetscCall(PetscHMapAuxSet(dm->auxData, key, aux));
9369: PetscCall(VecDestroy(&old));
9370: PetscFunctionReturn(PETSC_SUCCESS);
9371: }
9373: /*@
9374: DMGetAuxiliaryLabels - Get the labels, values, and parts for all auxiliary vectors in this `DM`
9376: Not Collective
9378: Input Parameter:
9379: . dm - The `DM`
9381: Output Parameters:
9382: + labels - The `DMLabel`s for each `Vec`
9383: . values - The label values for each `Vec`
9384: - parts - The equation parts for each `Vec`
9386: Level: advanced
9388: Note:
9389: The arrays passed in must be at least as large as `DMGetNumAuxiliaryVec()`.
9391: .seealso: [](ch_dmbase), `DM`, `DMClearAuxiliaryVec()`, `DMGetNumAuxiliaryVec()`, `DMGetAuxiliaryVec()`, `DMSetAuxiliaryVec()`, `DMCopyAuxiliaryVec()`
9392: @*/
9393: PetscErrorCode DMGetAuxiliaryLabels(DM dm, DMLabel labels[], PetscInt values[], PetscInt parts[])
9394: {
9395: PetscHashAuxKey *keys;
9396: PetscInt n, i, off = 0;
9398: PetscFunctionBegin;
9400: PetscAssertPointer(labels, 2);
9401: PetscAssertPointer(values, 3);
9402: PetscAssertPointer(parts, 4);
9403: PetscCall(DMGetNumAuxiliaryVec(dm, &n));
9404: PetscCall(PetscMalloc1(n, &keys));
9405: PetscCall(PetscHMapAuxGetKeys(dm->auxData, &off, keys));
9406: for (i = 0; i < n; ++i) {
9407: labels[i] = keys[i].label;
9408: values[i] = keys[i].value;
9409: parts[i] = keys[i].part;
9410: }
9411: PetscCall(PetscFree(keys));
9412: PetscFunctionReturn(PETSC_SUCCESS);
9413: }
9415: /*@
9416: DMCopyAuxiliaryVec - Copy the auxiliary vector data on a `DM` to a new `DM`
9418: Not Collective
9420: Input Parameter:
9421: . dm - The `DM`
9423: Output Parameter:
9424: . dmNew - The new `DM`, now with the same auxiliary data
9426: Level: advanced
9428: Note:
9429: This is a shallow copy of the auxiliary vectors
9431: .seealso: [](ch_dmbase), `DM`, `DMClearAuxiliaryVec()`, `DMGetNumAuxiliaryVec()`, `DMGetAuxiliaryVec()`, `DMSetAuxiliaryVec()`
9432: @*/
9433: PetscErrorCode DMCopyAuxiliaryVec(DM dm, DM dmNew)
9434: {
9435: PetscFunctionBegin;
9438: if (dm == dmNew) PetscFunctionReturn(PETSC_SUCCESS);
9439: PetscCall(DMClearAuxiliaryVec(dmNew));
9441: PetscCall(PetscHMapAuxDestroy(&dmNew->auxData));
9442: PetscCall(PetscHMapAuxDuplicate(dm->auxData, &dmNew->auxData));
9443: {
9444: Vec *auxData;
9445: PetscInt n, i, off = 0;
9447: PetscCall(PetscHMapAuxGetSize(dmNew->auxData, &n));
9448: PetscCall(PetscMalloc1(n, &auxData));
9449: PetscCall(PetscHMapAuxGetVals(dmNew->auxData, &off, auxData));
9450: for (i = 0; i < n; ++i) PetscCall(PetscObjectReference((PetscObject)auxData[i]));
9451: PetscCall(PetscFree(auxData));
9452: }
9453: PetscFunctionReturn(PETSC_SUCCESS);
9454: }
9456: /*@
9457: DMClearAuxiliaryVec - Destroys the auxiliary vector information and creates a new empty one
9459: Not Collective
9461: Input Parameter:
9462: . dm - The `DM`
9464: Level: advanced
9466: .seealso: [](ch_dmbase), `DM`, `DMCopyAuxiliaryVec()`, `DMGetNumAuxiliaryVec()`, `DMGetAuxiliaryVec()`, `DMSetAuxiliaryVec()`
9467: @*/
9468: PetscErrorCode DMClearAuxiliaryVec(DM dm)
9469: {
9470: Vec *auxData;
9471: PetscInt n, i, off = 0;
9473: PetscFunctionBegin;
9474: PetscCall(PetscHMapAuxGetSize(dm->auxData, &n));
9475: PetscCall(PetscMalloc1(n, &auxData));
9476: PetscCall(PetscHMapAuxGetVals(dm->auxData, &off, auxData));
9477: for (i = 0; i < n; ++i) PetscCall(VecDestroy(&auxData[i]));
9478: PetscCall(PetscFree(auxData));
9479: PetscCall(PetscHMapAuxDestroy(&dm->auxData));
9480: PetscCall(PetscHMapAuxCreate(&dm->auxData));
9481: PetscFunctionReturn(PETSC_SUCCESS);
9482: }
9484: /*@
9485: DMPolytopeMatchOrientation - Determine an orientation (transformation) that takes the source face arrangement to the target face arrangement
9487: Not Collective
9489: Input Parameters:
9490: + ct - The `DMPolytopeType`
9491: . sourceCone - The source arrangement of faces
9492: - targetCone - The target arrangement of faces
9494: Output Parameters:
9495: + ornt - The orientation (transformation) which will take the source arrangement to the target arrangement
9496: - found - Flag indicating that a suitable orientation was found
9498: Level: advanced
9500: Note:
9501: An arrangement is a face order combined with an orientation for each face
9503: Each orientation (transformation) is labeled with an integer from negative `DMPolytopeTypeGetNumArrangements(ct)`/2 to `DMPolytopeTypeGetNumArrangements(ct)`/2
9504: that labels each arrangement (face ordering plus orientation for each face).
9506: See `DMPolytopeMatchVertexOrientation()` to find a new vertex orientation that takes the source vertex arrangement to the target vertex arrangement
9508: .seealso: [](ch_dmbase), `DM`, `DMPolytopeGetOrientation()`, `DMPolytopeMatchVertexOrientation()`, `DMPolytopeGetVertexOrientation()`
9509: @*/
9510: PetscErrorCode DMPolytopeMatchOrientation(DMPolytopeType ct, const PetscInt sourceCone[], const PetscInt targetCone[], PetscInt *ornt, PetscBool *found)
9511: {
9512: const PetscInt cS = DMPolytopeTypeGetConeSize(ct);
9513: const PetscInt nO = DMPolytopeTypeGetNumArrangements(ct) / 2;
9514: PetscInt o, c;
9516: PetscFunctionBegin;
9517: if (!nO) {
9518: *ornt = 0;
9519: *found = PETSC_TRUE;
9520: PetscFunctionReturn(PETSC_SUCCESS);
9521: }
9522: for (o = -nO; o < nO; ++o) {
9523: const PetscInt *arr = DMPolytopeTypeGetArrangement(ct, o);
9525: for (c = 0; c < cS; ++c)
9526: if (sourceCone[arr[c * 2]] != targetCone[c]) break;
9527: if (c == cS) {
9528: *ornt = o;
9529: break;
9530: }
9531: }
9532: *found = o == nO ? PETSC_FALSE : PETSC_TRUE;
9533: PetscFunctionReturn(PETSC_SUCCESS);
9534: }
9536: /*@
9537: DMPolytopeGetOrientation - Determine an orientation (transformation) that takes the source face arrangement to the target face arrangement
9539: Not Collective
9541: Input Parameters:
9542: + ct - The `DMPolytopeType`
9543: . sourceCone - The source arrangement of faces
9544: - targetCone - The target arrangement of faces
9546: Output Parameter:
9547: . ornt - The orientation (transformation) which will take the source arrangement to the target arrangement
9549: Level: advanced
9551: Note:
9552: This function is the same as `DMPolytopeMatchOrientation()` except it will generate an error if no suitable orientation can be found.
9554: Developer Note:
9555: It is unclear why this function needs to exist since one can simply call `DMPolytopeMatchOrientation()` and error if none is found
9557: .seealso: [](ch_dmbase), `DM`, `DMPolytopeType`, `DMPolytopeMatchOrientation()`, `DMPolytopeGetVertexOrientation()`, `DMPolytopeMatchVertexOrientation()`
9558: @*/
9559: PetscErrorCode DMPolytopeGetOrientation(DMPolytopeType ct, const PetscInt sourceCone[], const PetscInt targetCone[], PetscInt *ornt)
9560: {
9561: PetscBool found;
9563: PetscFunctionBegin;
9564: PetscCall(DMPolytopeMatchOrientation(ct, sourceCone, targetCone, ornt, &found));
9565: PetscCheck(found, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Could not find orientation for %s", DMPolytopeTypes[ct]);
9566: PetscFunctionReturn(PETSC_SUCCESS);
9567: }
9569: /*@
9570: DMPolytopeMatchVertexOrientation - Determine an orientation (transformation) that takes the source vertex arrangement to the target vertex arrangement
9572: Not Collective
9574: Input Parameters:
9575: + ct - The `DMPolytopeType`
9576: . sourceVert - The source arrangement of vertices
9577: - targetVert - The target arrangement of vertices
9579: Output Parameters:
9580: + ornt - The orientation (transformation) which will take the source arrangement to the target arrangement
9581: - found - Flag indicating that a suitable orientation was found
9583: Level: advanced
9585: Notes:
9586: An arrangement is a vertex order
9588: Each orientation (transformation) is labeled with an integer from negative `DMPolytopeTypeGetNumArrangements(ct)`/2 to `DMPolytopeTypeGetNumArrangements(ct)`/2
9589: that labels each arrangement (vertex ordering).
9591: See `DMPolytopeMatchOrientation()` to find a new face orientation that takes the source face arrangement to the target face arrangement
9593: .seealso: [](ch_dmbase), `DM`, `DMPolytopeType`, `DMPolytopeGetOrientation()`, `DMPolytopeMatchOrientation()`, `DMPolytopeTypeGetNumVertices()`, `DMPolytopeTypeGetVertexArrangement()`
9594: @*/
9595: PetscErrorCode DMPolytopeMatchVertexOrientation(DMPolytopeType ct, const PetscInt sourceVert[], const PetscInt targetVert[], PetscInt *ornt, PetscBool *found)
9596: {
9597: const PetscInt cS = DMPolytopeTypeGetNumVertices(ct);
9598: const PetscInt nO = DMPolytopeTypeGetNumArrangements(ct) / 2;
9599: PetscInt o, c;
9601: PetscFunctionBegin;
9602: if (!nO) {
9603: *ornt = 0;
9604: *found = PETSC_TRUE;
9605: PetscFunctionReturn(PETSC_SUCCESS);
9606: }
9607: for (o = -nO; o < nO; ++o) {
9608: const PetscInt *arr = DMPolytopeTypeGetVertexArrangement(ct, o);
9610: for (c = 0; c < cS; ++c)
9611: if (sourceVert[arr[c]] != targetVert[c]) break;
9612: if (c == cS) {
9613: *ornt = o;
9614: break;
9615: }
9616: }
9617: *found = o == nO ? PETSC_FALSE : PETSC_TRUE;
9618: PetscFunctionReturn(PETSC_SUCCESS);
9619: }
9621: /*@
9622: DMPolytopeGetVertexOrientation - Determine an orientation (transformation) that takes the source vertex arrangement to the target vertex arrangement
9624: Not Collective
9626: Input Parameters:
9627: + ct - The `DMPolytopeType`
9628: . sourceCone - The source arrangement of vertices
9629: - targetCone - The target arrangement of vertices
9631: Output Parameter:
9632: . ornt - The orientation (transformation) which will take the source arrangement to the target arrangement
9634: Level: advanced
9636: Note:
9637: This function is the same as `DMPolytopeMatchVertexOrientation()` except it errors if not orientation is possible.
9639: Developer Note:
9640: It is unclear why this function needs to exist since one can simply call `DMPolytopeMatchVertexOrientation()` and error if none is found
9642: .seealso: [](ch_dmbase), `DM`, `DMPolytopeType`, `DMPolytopeMatchVertexOrientation()`, `DMPolytopeGetOrientation()`
9643: @*/
9644: PetscErrorCode DMPolytopeGetVertexOrientation(DMPolytopeType ct, const PetscInt sourceCone[], const PetscInt targetCone[], PetscInt *ornt)
9645: {
9646: PetscBool found;
9648: PetscFunctionBegin;
9649: PetscCall(DMPolytopeMatchVertexOrientation(ct, sourceCone, targetCone, ornt, &found));
9650: PetscCheck(found, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Could not find orientation for %s", DMPolytopeTypes[ct]);
9651: PetscFunctionReturn(PETSC_SUCCESS);
9652: }
9654: /*@
9655: DMPolytopeInCellTest - Check whether a point lies inside the reference cell of given type
9657: Not Collective
9659: Input Parameters:
9660: + ct - The `DMPolytopeType`
9661: - point - Coordinates of the point
9663: Output Parameter:
9664: . inside - Flag indicating whether the point is inside the reference cell of given type
9666: Level: advanced
9668: .seealso: [](ch_dmbase), `DM`, `DMPolytopeType`, `DMLocatePoints()`
9669: @*/
9670: PetscErrorCode DMPolytopeInCellTest(DMPolytopeType ct, const PetscReal point[], PetscBool *inside)
9671: {
9672: PetscReal sum = 0.0;
9673: PetscInt d;
9675: PetscFunctionBegin;
9676: *inside = PETSC_TRUE;
9677: switch (ct) {
9678: case DM_POLYTOPE_TRIANGLE:
9679: case DM_POLYTOPE_TETRAHEDRON:
9680: for (d = 0; d < DMPolytopeTypeGetDim(ct); ++d) {
9681: if (point[d] < -1.0) {
9682: *inside = PETSC_FALSE;
9683: break;
9684: }
9685: sum += point[d];
9686: }
9687: if (sum > PETSC_SMALL) {
9688: *inside = PETSC_FALSE;
9689: break;
9690: }
9691: break;
9692: case DM_POLYTOPE_QUADRILATERAL:
9693: case DM_POLYTOPE_HEXAHEDRON:
9694: for (d = 0; d < DMPolytopeTypeGetDim(ct); ++d)
9695: if (PetscAbsReal(point[d]) > 1. + PETSC_SMALL) {
9696: *inside = PETSC_FALSE;
9697: break;
9698: }
9699: break;
9700: default:
9701: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Unsupported polytope type %s", DMPolytopeTypes[ct]);
9702: }
9703: PetscFunctionReturn(PETSC_SUCCESS);
9704: }
9706: /*@
9707: DMReorderSectionSetDefault - Set flag indicating whether the local section should be reordered by default
9709: Logically collective
9711: Input Parameters:
9712: + dm - The DM
9713: - reorder - Flag for reordering
9715: Level: intermediate
9717: .seealso: `DMReorderSectionGetDefault()`
9718: @*/
9719: PetscErrorCode DMReorderSectionSetDefault(DM dm, DMReorderDefaultFlag reorder)
9720: {
9721: PetscFunctionBegin;
9723: PetscTryMethod(dm, "DMReorderSectionSetDefault_C", (DM, DMReorderDefaultFlag), (dm, reorder));
9724: PetscFunctionReturn(PETSC_SUCCESS);
9725: }
9727: /*@
9728: DMReorderSectionGetDefault - Get flag indicating whether the local section should be reordered by default
9730: Not collective
9732: Input Parameter:
9733: . dm - The DM
9735: Output Parameter:
9736: . reorder - Flag for reordering
9738: Level: intermediate
9740: .seealso: `DMReorderSetDefault()`
9741: @*/
9742: PetscErrorCode DMReorderSectionGetDefault(DM dm, DMReorderDefaultFlag *reorder)
9743: {
9744: PetscFunctionBegin;
9746: PetscAssertPointer(reorder, 2);
9747: *reorder = DM_REORDER_DEFAULT_NOTSET;
9748: PetscTryMethod(dm, "DMReorderSectionGetDefault_C", (DM, DMReorderDefaultFlag *), (dm, reorder));
9749: PetscFunctionReturn(PETSC_SUCCESS);
9750: }
9752: /*@
9753: DMReorderSectionSetType - Set the type of local section reordering
9755: Logically collective
9757: Input Parameters:
9758: + dm - The DM
9759: - reorder - The reordering method
9761: Level: intermediate
9763: .seealso: `DMReorderSectionGetType()`, `DMReorderSectionSetDefault()`
9764: @*/
9765: PetscErrorCode DMReorderSectionSetType(DM dm, MatOrderingType reorder)
9766: {
9767: PetscFunctionBegin;
9769: PetscTryMethod(dm, "DMReorderSectionSetType_C", (DM, MatOrderingType), (dm, reorder));
9770: PetscFunctionReturn(PETSC_SUCCESS);
9771: }
9773: /*@
9774: DMReorderSectionGetType - Get the reordering type for the local section
9776: Not collective
9778: Input Parameter:
9779: . dm - The DM
9781: Output Parameter:
9782: . reorder - The reordering method
9784: Level: intermediate
9786: .seealso: `DMReorderSetDefault()`, `DMReorderSectionGetDefault()`
9787: @*/
9788: PetscErrorCode DMReorderSectionGetType(DM dm, MatOrderingType *reorder)
9789: {
9790: PetscFunctionBegin;
9792: PetscAssertPointer(reorder, 2);
9793: *reorder = NULL;
9794: PetscTryMethod(dm, "DMReorderSectionGetType_C", (DM, MatOrderingType *), (dm, reorder));
9795: PetscFunctionReturn(PETSC_SUCCESS);
9796: }